Kanadevia Advanced Predictive Maintenance Strategy With ADI OtoSense SMS: Case Study for a Waste-To-Energy Plant
Implementation
Kanadevia utilized the SMS solution as a part of their plant monitoring system. Any notifications generated by the solution are sent to Kanadevia’s Advanced Information Technology Center (A.I/TEC) that provides 24-hours plant monitoring services. For the pilot, Kanadevia deployed the SMS sensors to the IDFs at Clean Park Orii (Kyoto, Japan), a facility it manages, and monitored them through SMS dashboards.
“Shaft Balance,” “Alignment,” and “Performance” index degradation were detected in two IDFs. The quantitative Health Index score from SMS allowed prioritization and the decision to perform emergency maintenance on only Unit 1.
The Kanadevia maintenance team confirmed the performance degradation was caused by partial exfoliation and shedding of rust on the impeller surface.
This proof of concept demonstrates the effectiveness of ADI OtoSense SMS-based maintenance methodology, which facilitated rapid guidance on anomaly sources and targeted maintenance tasks.
ADI OtoSense Smart Motor Sensor Reduced Overall Costs
Reduce Downtime
Reduce Overhauls
Optimize Maintenance
Efficiently Manage Resources
Extend Lifespan
Optimize Efficiency
Improve Efficiency
Benefit of ADI OtoSense Smart Motor Sensor
Advanced Diagnostics for Prioritized Action Items
Identifies electrical and mechanical performance degradation
Supports maintenance prioritization via assessment of severity levels
Provides repair insights and recommendations
Cutting-Edge Sensing Technologies for High Quality
Multi-axis, wide bandwidth vibration sensors monitor mechanical health
Magnetic field sensors monitor electrical health
Temperature sensors monitor ambient and motor skin temperature
Machine Learning Creates Motor Models During Operation
Combines and interprets high quality, sensing data for higher reliability diagnostics
Creates automated, brand agnostic motor models.
Customized model for individual motor & the processes in which it is used
Shota Akatsuka
Advanced Information Technology
Kanadevia Corporation
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