SYSTEM AND METHOD TO DETECT ANOMALIES IN A STEEL WIRE ROPE (SWR) OF AN ELEVATOR BASED ON CHANGES IN RAW MAGNETIC FLUX LEAKAGE (MFL) DATA

Xiaoge Zhang (Inventor), Wai Kit Chan (Inventor), CHAN, Ho Sang (Inventor), Hiu Hung Lee (Inventor)

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Abstract

The present invention teaches a system (10) to detect anomalies in a steel wire rope (SWR) of an elevator based on changes in raw magnetic flux leakage (MFL) data, the system comprises: at least one MFL signals sensor placed on a targeted SWR of the elevator; a pre-processing module (14) configured to process the MFL data; at least one pre-trained deep learning neural network model (16) configured to train the processed data and generate outputs (18); and a feedback module configured to record and feed the outputs back into the at least one pre-trained deep learning neural network model (16) for parameters updates and re-training and its method
thereof.
Original languageEnglish
Patent numberHK30089194
Filing date8/06/23
Publication statusPublished - 2024

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