2019 - PI World - San Francisco - Enterprise Infrastructure
Journey to a new paradigm in utility condition-based maintenance (Ameren)
National Security risks and the scope of catastrophic failures mean utility companies have been among the most conservative and aggressive with time-based maintenance. Thanks to new EPRI guidelines, utilities now have the chance to combine PI and continuous online machine health monitoring tools such as SmartDiagnostics® to reduce maintenance intervals and optimize machine performance. This new approach is poised to dramatically shift the maintenance and reliability paradigms that utilities have followed for decades. But are utility companies ready for this shift? What are the implications of introducing new technology and data analytics into a traditional maintenance model? In this session you’ll learn how Ameren has already saved $798,000 by avoiding a plant down power and discovered ways to build a safer, more predictable utility plant. See how PI is helping Maintenance and Reliability professionals optimize America’s utility infrastructure.
- Oil & Gas
- Pulp & Paper
Lorne Poindexter – Maintenance Manager, Innovation Projects. Currently assigned to the Corporate Innovation team. Responsibilities include implementation of pilots and projects to improve efficiency and keep customer rates as low as possible. Lorne has 28 years of experience at the Callaway Nuclear Plant and has done a number of jobs during his career, as a deconner, non-licensed operator, licensed reactor operator, general supervisor radwaste, senior reactor operator certification, work week manager and maintenance manager I&C. He enjoys continuous improvement and project implementation.
KCF Technologies Inc.
Jacob Loverich is the Chief Technology Officer at KCF Technologies, a company providing predictive machinery health monitoring solutions. He has spent the last 10 years developing core technologies that are foundational to the industrial IoT including AI software, sensors, wireless communication, and energy harvesting technologies. He is currently leading KCF Technologies in efficiently capitalizing on the information embedded in the trillions of data sets that their sensors acquired in the last few years. Jacob’s understanding of the industrial IoT is grounded by his practical background as a machinist, his Doctoral work in smart materials and optimization, experience in machine design at IBM, and MEMS sensor work as a fellow at Kyoto University, Japan.