Description
In this programme, you will learn to make (better) use of Artificial Intelligence applied in maintenance and asset management as a maintenance or reliability engineer. After all, AI allows to predict upcoming failures, thus avoiding unplanned downtime and technical incidents.
In the future, you will also have to deal with Artificial Intelligence (AI) in your organisation. It is therefore important to get acquainted now with the possible applications of this technology and its impact on your range of tasks. BEMAS has therefore set up an awareness training for maintenance & reliability engineers around AI in collaboration with various specialists in the field.
Recommended audience
Reliability and/or maintenance engineers, and any technical profile in maintenance and reliability who is interested in the building blocks of AI, in the technical aspects such as software and data but equally in the organisational and human impact of AI.
You will learn
In this 2-day course, we will introduce the building blocks and terms for you as a technical engineer in maintenance and reliability to successfully introduce AI into your organisation. We touch on technical aspects such as software and data but equally on the organisational and human impact of AI.
Learning Objectives
- Understand what AI means and how it can be applied in maintenance and operations
- Be able to define some AI analysis techniques and commonly used terms in AI, predictive analytics and big data analytics
- Understand the different maturity levels of applying AI in maintenance and operations
- Understanding the impact AI algorithms can have on quality, reliability and productivity
- Understanding the possibilities of data capture
- Understanding the importance of maintenance data quality / quality maintenance intervention reports for the (later) application of AI
- Understanding the importance of Cybersecurity and Data Security and how this can be addressed
- Understand the opportunities to capture data through additional and existing sensors and devices
- Understand the possibilities for M2M communication, wireless and wired, over short and long distances
- Understand what software tools and data platforms are available to run and manage AI applications
- Understand critical success factors to achieve reliable results with AI and predictive analytics for maintenance applications
Course duration
2 DAYS