This agreement will broaden Schneider’s managed service offering to now support the monitoring of rotating equipment including induction motors, pumps, conveyors and compressors.
According to the company, this expanded digital service enables the implementation of an optimal condition-based maintenance strategy for critical motors, vital to the reduction of costly unplanned process downtime.
Semiotic Labs’ predictive analytics is being integrated into Schneider’s EcoStruxure Asset Advisor platform.
The combined systems can predict upcoming failures up to six months in advance, the companies say.
Schneider also offers a remote expert service team through Schneider’s Connected Service Hub, which it says offers a single view of the health of a broad portfolio of critical assets at multiple sites.
Stephane Maravel, SVP for digital services at Schneider Electric says: “We know that enabling resiliency by minimising costly unplanned downtime and on-site interventions is paramount to driving higher operational efficiency. This new partnership with Semiotic Labs expands our digital service offering to now enable condition-based monitoring of rotating equipment, an asset class deemed highly critical by our customers.”
Semiotic Labs’ SAM4 system uses electrical signals and the data fingerprint of AC motors and other rotating equipment to monitor and analyze the condition of critical plant assets. That data is processed by artificial intelligence-based technology to predict developing faults as well as providing performance and energy insights.
In contrast to traditional, vibration-based solutions, SAM4 operates based on sensors installed directly inside the motor control cabinet – not on the asset itself. Because of this, the solution is said to be a good complement to Schneider’s portfolio and installed base of motor management assets.