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.