Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities

Description

This paper presents a signal processing methodology based on fast Fourier transform for the early fault detection of electrically motorised devices. We used time-stamped, current draw data provided by Network Rail, UK, to develop a methodology that may identify imminent faults in point machine operations. In this paper we describe the data, preprocessing steps and methodology developed that can be used with similar motorised devices as a means of identifying potential fault occurrences. The novelty of our method is that it does not rely on labelled data for fault detection. This method could be integrated into smart city infrastructure and deployed to provide automated asset maintenance management capabilities.

Period	Nov 2019
Event title	7th International Conference on Smart City and Informatization
Event type	Conference
Conference number	7
Organisers	Guangzhou University, Central South University China
Location	Guangzhou, ChinaShow on map
Degree of Recognition	International