AI on Predictive Maintenance and Performance Optimisation for Main Low Voltage Switchboard

I&T Solution AI on Predictive Maintenance and Performance Optimisation for Main Low Voltage Switchboard
(REF: S-1355)
Trial Project
Solution Feature
  • Real-time monitoring of equipment status
  • Online diagnosis of equipment failure
  • Establish a machine learning model combined with expert experience feature extraction
  • Establish the health index of equipment failure
  • Predict equipment failure trends and propose predictive maintenance strategies
Trial Application and Expected Outcome
  • Development of various non-intrusive sensors with IoT
  • Development of sensors with self-powered environmental energy harvesting technology
  • Develop arc fault diagnosis and identification algorithm
  • Develop learning models based on online and offline machine training
  • Develop the health evaluation model of equipment failure and failure trend prediction algorithm
Additional Solution Information 開發人工智能用於主配電板上的預測性維護和性能優化-APEX.pdf
Info on I&T Solution Provider
Solution Provider:APEX PowerLab Company Limited
Address:A13,12th floor,block A, Hong Kong Industrial Centre 489-491 Castle Peak Road, Kowloon
Contact Person:Wang Daohong
Position:CEO
Tel:67085483
Email: wangdaohong@hotmail.com
Webpage: https://www.apexpowerlab.com/

For details of the above I&T solution, please contact the I&T solution provider.