About this training course This 5 full-day course provide a comprehensive understanding of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, HART protocol, control valves, actuators, and smart technology. This course will focus on maximizing the efficiency, reliability, and longevity of these systems and equipment by providing an understanding of the characteristics, selection criteria, common problems and repair techniques, preventive and predictive maintenance. This course is a MUST for anyone who is involved in the selection, applications, or maintenance of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology because it covers how these systems and equipment operate, the latest maintenance techniques, and provides guidelines and rules that ensure their successful operation. In addition, this course will cover in detail the basic design, operating characteristics, specification, selection criteria, advanced fault detection techniques, critical components and all preventive and predictive maintenance methods in order to increase the reliability of these systems andequipment and reduce their operation and maintenance cost This course will provide the following information for modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology: Basic Design Specification Selection Criteria Sizing Calculations Enclosures and Sealing Arrangements Codes and Standards Common Operational Problems All Diagnostics, Troubleshooting, Testing, and Maintenance Practical applications of smart instrumentation, SCADA, and Distributed Control Systems, control valves, actuators, etc in the following industries will be discussed in detail: Chemical and petrochemical Power generation Pulp and paper Aerospace Water and sewage treatment Electrical power grids Environmental monitoring and control systems Pharmaceutical plants Training Objectives Equipment Operation: Gain a thorough understanding of the operating characteristics of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Equipment Diagnostics and Inspection: Learn in detail all the diagnostic techniques and inspections required of critical components of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Equipment Testing: Understand thoroughly all the tests required for the various types of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Equipment Maintenance and Troubleshooting: Determine all the maintenance and troubleshooting activities required to minimize the downtime and operating cost of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Equipment Repair and Refurbishment: Gain a detailed understanding of the various methods used to repair and refurbish modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Efficiency, Reliability, and Longevity: Learn the various methods used to maximize the efficiency, reliability, and longevity of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Equipment Sizing: Gain a detailed understanding of all the calculations and sizing techniques used for modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Design Features: Understand all the design features that improve the efficiency and reliability of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Equipment Selection: Learn how to select modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology by using the performance characteristics and selection criteria that you will learn in this course Equipment Enclosures and Sealing Methods Learn about the various types of enclosures and sealing arrangements used for modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Equipment Commissioning: Understand all the commissioning requirements for modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Equipment Codes and Standards: Learn all the codes and standards applicable for modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Equipment Causes and Modes of Failure: Understand the causes and modes of failure of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology System Design: Learn all the requirements for designing different types of modern control systems, digital control, distributed control systems (DCSs), supervisory control and data acquisition (SCADA) systems, industrial instrumentation, control valves, actuators, and smart technology Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Training Methods Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Each delegate will receive a copy of the following materials written by the instructor: Industrial Instrumentation and Modern Control Systems Practical Manual (400 pages) Trainer Your specialist course leader has more than 32 years of practical engineering experience with Ontario Power Generation (OPG), one of the largest electric utility in North America. He was previously involved in research on power generation equipment with Atomic Energy of Canada Limited at their Chalk River and Whiteshell Nuclear Research Laboratories. While working at OPG, he acted as a Training Manager, Engineering Supervisor, System Responsible Engineer and Design Engineer. During the period of time, he worked as a Field Engineer and Design Engineer, he was responsible for the operation, maintenance, diagnostics, and testing of gas turbines, steam turbines, generators, motors, transformers, inverters, valves, pumps, compressors, instrumentation and control systems. Further, his responsibilities included designing, engineering, diagnosing equipment problems and recommending solutions to repair deficiencies and improve system performance, supervising engineers, setting up preventive maintenance programs, writing Operating and Design Manuals, and commissioning new equipment. Later, he worked as the manager of a section dedicated to providing training for the staff at the power stations. The training provided by him covered in detail the various equipment and systems used in power stations. In addition, he has taught courses and seminars to more than four thousand working engineers and professionals around the world, specifically Europe and North America. He has been consistently ranked as 'Excellent' or 'Very Good' by the delegates who attended his seminars and lectures. He written 5 books for working engineers from which 3 have been published by McGraw-Hill, New York. Below is a list of the books authored by him; Power Generation Handbook: Gas Turbines, Steam Power Plants, Co-generation, and Combined Cycles, second edition, (800 pages), McGraw-Hill, New York, October 2011. Electrical Equipment Handbook (600 pages), McGraw-Hill, New York, March 2003. Power Plant Equipment Operation and Maintenance Guide (800 pages), McGraw-Hill, New York, January 2012. Industrial Instrumentation and Modern Control Systems (400 pages), Custom Publishing, University of Toronto, University of Toronto Custom Publishing (1999). Industrial Equipment (600 pages), Custom Publishing, University of Toronto, University of Toronto, University of Toronto Custom Publishing (1999). Furthermore, he has received the following awards: The first 'Excellence in Teaching' award offered by PowerEdge, Singapore, in December 2016 The first 'Excellence in Teaching' award offered by the Professional Development Center at University of Toronto (May, 1996). The 'Excellence in Teaching Award' in April 2007 offered by TUV Akademie (TUV Akademie is one of the largest Professional Development centre in world, it is based in Germany and the United Arab Emirates, and provides engineering training to engineers and managers across Europe and the Middle East). Awarded graduation 'With Distinction' from Dalhousie University when completed Bachelor of Engineering degree (1983). Lastly, he was awarded his Bachelor of Engineering Degree 'with distinction' from Dalhousie University, Halifax, Nova Scotia, Canada. He also received a Master of Applied Science in Engineering (M.A.Sc.) from the University of Ottawa, Canada. He is also a member of the Association of Professional Engineers in the province of Ontario, Canada. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations
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Duration 4 Days 24 CPD hours This course is intended for The App Maker builds solutions to simplify, automate, and transform tasks and processes for themselves and their team where they have deep expertise in the solution business domain. They have basic data modeling, user experience design, requirements analysis, and process analysis skills. The App Maker creates and enforces business processes, structures digital collection of information, improves efficiency of repeatable tasks, and automates business processes. The App Maker uses the Maker tools of Power Platform to solve business problems. They may use advanced features of Microsoft apps and third-party productivity tools. The App Maker is aware of the capabilities and limitations of available tools and understands how to apply them. The App Maker is self-directed, and solution focused. They may not have formal IT training but are comfortable using technology to solve business problems with a personal growth mindset. They understand the operational need and have a vision of the desired outcome. They approach problems with phased and iterative strategies. This course will teach you how to build apps with low-code techniques to simplify, automate, and transform business tasks and processes using Microsoft Power Platform. This course contains a 1-day Applied Workshop. This workshop will allow you to practice your App Maker skills by creating an end-to-end solution to solve a problem for a fictitious company. The solution will include a Microsoft Dataverse database, Power Apps canvas app, and Power Automate flows. 1 - Get started with Microsoft Power Platform for app makers Identify components Create apps Get started with Microsoft Dataverse Work with Copilot in Microsoft Power Platform 2 - Create tables in Dataverse Table characteristics Table relationships Dataverse logic and security Dataverse auditing Dual-write vs. virtual tables 3 - Create and manage columns within a table in Dataverse Define columns in Microsoft Dataverse Column types in Microsoft Dataverse Add a column to a table Primary name column Restrictions that apply to columns in a table Create an auto numbering column Create an alternate key 4 - Load/export data and create data views in Dataverse View data in a table Create or edit views of data in a table Dataverse data import options Load data into a table Dataverse data export options Export Add, update, or delete data in a table by using Excel Import data using Power Query 5 - Export data from Dataverse and use Microsoft Excel to edit records Export data to Excel Edit and update data in Excel 6 - Get started with Microsoft Dataverse for Teams Dataverse for Teams vs Dataverse Provision your first Dataverse environment Create your first table to store data 7 - Build your first app with Power Apps and Dataverse for Teams Create your first app with the hero template Customize your app with Power Apps Studio Publish your app Install template apps 8 - Build your first workflow with Power Automate and Dataverse for Teams Types of workflows that Power Automate can build in Dataverse Schedule a flow 9 - Create reports with Power BI and Dataverse for Teams Connect to and transform Dataverse for Teams data from Power BI Create a Power BI report Publish the report Share the data 10 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 11 - Explore what Power BI can do for you What can I do with the Power BI service as a consumer? View content in the Power BI service Collaborate and share in Power BI Find and view dashboards and reports 12 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 13 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 14 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 15 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Secure, publish, and share data in Power BI Share and use reports in Power BI Row-level security Publish a report to a Power BI workspace Share reports and user experience Protect data in Power BI Data refresh and alerts 18 - Embed Power BI content Embed Power BI reports Embed other Power BI content types Optimize the embedding experience 19 - How to build your first model-driven app with Dataverse Model-driven apps, powered by Microsoft Dataverse Explore sample apps 20 - Get started with model-driven apps in Power Apps Introducing model-driven apps Components of model-driven apps Design model-driven apps Incorporate business process flows 21 - Configure forms, charts, and dashboards in model-driven apps Forms overview Form elements Configure multiple forms Use specialized form components Configure views overview Configure grids Create and edit views Configure charts overview Dashboards overview Use interactive streams and tiles 22 - Manage Dynamics 365 model-driven app settings and security Configure role-based security Manage teams and business units Explore settings and customizations 23 - Use specialized components in a model-driven form Create business process flows Embed a canvas app in a model-driven form Add a timeline in a model-driven form Create a report in a model-driven form 24 - Get started with Power Apps canvas apps Start Power Apps Power Apps data sources Use Power Apps with Power Automate and Power BI Designing a Power Apps app 25 - Customize a canvas app in Power Apps Improve your app by making basic customizations Explore controls and screens in canvas apps 26 - How to build the User Interface in a canvas app in Power Apps Use themes to quickly change the appearance of your app Brand a control Icons Images Personalization Build for phones or tablets 27 - Navigation in a canvas app in Power Apps Understanding navigation The Navigate and Back functions More ways to use the Navigate function 28 - Manage apps in Power Apps Power Apps review 29 - Build a mobile-optimized app from Power Apps Learn about mobile-optimized apps Identify components to make a canvas app mobile-optimized Create a mobile-optimized app that uses responsive designs Identify performance considerations for a mobile-optimized canvas app 30 - Use and understand Controls in a canvas app in Power Apps Core properties of controls Entering and displaying data with text controls Additional controls for enhancing your app's usability Media Modern controls Work with component libraries 31 - Create formulas to change properties in a Power Apps canvas app Formulas overview Use a formula to modify the format of controls Use formulas to perform calculations Use a control to modify the property of other controls Conditional formatting Functions for validating data 32 - Use imperative development techniques for canvas apps in Power Apps Imperative versus declarative development The three types of variables in Power Apps Global variables Contextual variables Collections Additional variable concepts 33 - Manage apps in Power Apps Power Apps review 34 - Create formulas to change properties in a Power Apps canvas app Formulas overview Use a formula to modify the format of controls Use formulas to perform calculations Use a control to modify the property of other controls Conditional formatting Functions for validating data 35 - Create formulas to change behaviors in a Power Apps canvas app Formulas and functionality Understanding true and false Understanding control behaviors and actions Performing multiple actions in a formula Control the display mode through a formula Use controls and functions to create a dynamic formula 36 - Author a basic formula that uses tables and records in a Power Apps canvas app Records and tables Using the Table function Store a table Filter your table Use the lookup function to return a record Additional table functions 37 - Build a canvas app for a real estate solution with Copilot in Power Apps 38 - Get started with Power Automate Introducing Power Automate Create your first flow Troubleshoot flows 39 - Build approval flows with Power Automate Provide solutions to real-world scenarios. 40 - Build flows to manage user information 41 - Power Automate's deep integration across multiple data sources 42 - Use the Admin center to manage environments and data policies in Power Automate Administer flows Export and import flows Learn how to distribute button flows 43 - Use AI Builder in Power Automate AI Builder in Power Automate saves time Advanced usage of AI Builder in Power Automate 44 - Optimize your business process with process advisor Get familiar with process advisor Create your first recording Edit recordings and group actions Analyze recordings and interpret results Automation recommendations 45 - Optimize your business process with process advisor Get familiar with process advisor Create your first recording Edit recordings and group actions Analyze recordings and interpret results Automation recommendations 46 - Build flows for a real estate solution using Copilot in Power Automate When to use Copilot in Power Automate 47 - Use Dataverse triggers and actions in Power Automate Dataverse triggers Query data Create, update, delete, and relate actions 48 - Create tables in Dataverse Table characteristics Table relationships Dataverse logic and security Dataverse auditing Dual-write vs. virtual tables 49 - Create and manage columns within a table in Dataverse Define columns in Microsoft Dataverse Column types in Microsoft Dataverse Add a column to a table Primary name column Restrictions that apply to columns in a table Create an auto numbering column Create an alternate key 50 - Get started with Power Apps canvas apps Start Power Apps Power Apps data sources Use Power Apps with Power Automate and Power BI Designing a Power Apps app 51 - How to build the User Interface in a canvas app in Power Apps Use themes to quickly change the appearance of your app Brand a control Icons Images Personalization Build for phones or tablets 52 - Get started with Power Automate Introducing Power Automate Create your first flow Troubleshoot flows 53 - Challenge Project - Build a booking requests app with Power Apps and Power Automate Prepare
About this Virtual Instructor Led Training (VILT) The objective of this 4-half-day Virtual Instructor Led Training (VILT) course is to equip participants with the required knowledge so that they can define and implement an effective oil analysis programme, monitor the condition of transformers and understand oil analysis reports as part of their maintenance strategy. This VILT course is delivered in partnership with ENGIE Laborelec. Training Objectives Participants will be able to go through the following areas during the VILT course: Condition monitoring of power transformers through oil analyses: Transformer Health Index, Transformer Fleet Condition Assessment, Risk Matrix Best practices Which oil analyses/how frequent DGA: focus on partial discharges, sparking, stray gassing, catalytic effects / interpretation systems. Interpretation of results Why and when to perform electrical measurements? International standards: IEEE, IEC, Duval, ASTM, etc Maintenance guidelines Trending and reporting Sampling techniques Use of online monitoring for DGA/water: implementation and real-case advantages etc: New developments: importance of methanol as ageing marker, temperature correction of ageing markers, stray gassing of oils in service etc REX, case studies and real-case exercises concerning power transformers within generation and high-voltage grids Discussion of reports on power transformers Use of unused insulating transformer oils Market trends in the use of inhibited and uninhibited oils Differences, advantages and drawbacks of uninhibited compared with inhibited oils Importance of additives, oxidation stability tests, stray gassing, etc Target Audience The VILT course is intended for a wide audience, including professionals who are maintenance staff, electrical engineers and asset managers responsible for transformers. Typical industries are powerplants, high voltage grids or large industrial sites. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). This VILT course is delivered in partnership with ENGIE Laborelec. Trainer Your expert course leader is a senior expert in the field of insulating and lubricating oils and of condition monitoring of power transformers and turbines. He has 20 years of experience within power industry and since 2010 Key Expert within the ENGIE group. He has worked on various international projects such as the Al Dur power plant in Bahrain, Shuweihat II power plant in UAE, PP11 and Jubail Marafiq power plants in Saudi Arabia and Sohar II and Barka III power plants in Oman. He has also been involved in consulting work in Malaysia for Hyrax Oil. Other assignments include Shell, Nynas, Total, ABB, Alstom, CG Pauwels in Europe. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
Enhance your expertise in HV/MV power system design and protection coordination with EnergyEdge's virtual instructor-led training. Join now!
Enhance your expertise in HV/MV power system design and protection coordination with EnergyEdge's virtual instructor-led training. Join now!
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