<p>Asset condition management (ACM) teaches on-condition monitoring for any business with high-capital assets looking to harness machine learning to avoid unexpected failures and control rising equipment maintenance costs. Many businesses are already using continuous condition monitoring technologies like IoT-connected devices. However, beyond simple threshold alerts from condition sensors, extracting real value from the data generated by these sensors for true predictive monitoring requires expert analysis and interpretation. To generate actionable results from condition sensor data, these experts also apply knowledge about the asset’s operation. This limits the value that IoT-enabled ACM can provide to the business. By taking the next step and using advanced algorithms and machine learning to automatically extract real-time insights that drive action, we can now achieve the full potential of ACM. Modern, cognitive online ACM takes data from multiple and varied sources, combines it, and uses AI and machine learning techniques to anticipate equipment failure before it happens. Many reliability professionals recognize the potential of IoT, machine learning, and AI, and are trying to learn these technologies. However, the available training is complex and assumes learners have a background in data science and computer programming. This workshop will provide a beginners’ level understanding of terminology, basic concepts, and techniques to determine how and where you can apply AI in your facilities for meaningful ACM.</p>
<p>Blair Fraser is a passionate reliability and operational excellence professional and evangelist with more than 20 years’ experience in designing, commissioning, maintaining, and improving manufacturing equipment and processes for the manufacturing industry. A CRL and CMRP, Blair has dedicated his career to combining sound reliability principles and processes with the latest technology to improve asset performance and uptime for several process manufacturing facilities. Prior to joining Lakeside Process Controls to lead the development and implementation for clients’ Industry 4.0 strategies, Blair worked in and managed the M&R programs at various manufacturing plants. He has dedicated the past years to learning, experimenting with and deploying machine learning and AI-based PoCs, pilots, and production-grade cognitive asset performance improvement projects.</p>
