2018 - PI World - San Francisco - Power Generation
Optimizing Predictive Maintenance by Integrating Vibration Data and Process Data
Historically, process control and reliability data have remained in separate worlds. Technology trends like wireless connectivity, inexpensive sensors, cloud computing and AI are paving the way for integration of process control data and vibration data. This translates to improved operational efficiencies, significant cost savings and massive productivity gains. OSIsoft and Petasense have joined hands to make digitization both practical and achievable.
Silicon Valley Power (SVP) recently integrated OSIsoft (process data) and Petasense (vibration data) solutions to optimize PdM outcomes. The integration of the two systems has equipped the engineers at SVP with a multi-parametric view of the data, better insights, diagnostics and more powerful analytics, and the ability to create predictive models. As a result, they have been able to significantly improve asset reliability, uptime and plant safety, and reduce unplanned downtime and maintenance costs.
Silicon Valley Power
Paul (Chet) Manchester
Paul (Chet) Manchester is an Electric Utility Professional with over 27 years of industry experience. He is currently the Acting Operations and Maintenance Manager for Silicon Valley Power (SVP) Generation Division located in Santa Clara, California. He is responsible for the safe and reliable operation of three gas turbine power plants and other SVP owned power generation assets. In the past he has worked at the Stanford Linear Accelerator Center, Hetch Hetchy Water and Power and General Electric. He is a veteran of the US Navy. A Nebraska native, he now lives in the San Francisco Bay Area with his wife and two dogs.
Arun Santhebennur is the Co-Founder of Petasense. He brings more than 15 years of experience in building high-tech startups in the enterprise software space. Prior to starting Petasense, Santhebennur co-founded Resolvity, a leading provider of speech recognition software. He holds engineering and management degrees from IIT and IIM, India.
Petasense offers an end to end, easy to deploy predictive maintenance system. Its clients, such as Silicon Valley Power, JLL, C&W Services and others, monitor their machines using Petasense Vibration Motes. Vibration data is sent to the cloud in real time and analyzed using an AI-based analytics engine. Users receive real time email or SMS alerts when impending problems arise. Petasense was a Top-10 machine learning startup in Google’s ML Startup Competition.