Mechanical Fault Detection in Machinery Operating Under Non-Steady State Conditions

CIM Edmonton 2004
Markus A Timusk, Mike Lipsett,
Abstract This paper describes a research project that focuses on developing a diagnostic routine to assist in decision support for the condition based maintenance of mobile mining equipment. The objective is to develop a general method for initial identification of mechanical faults in machinery operating under non-steady state conditions. The platform to be used for the experimental development and validation is a high bandwidth wireless system monitoring mobile mining machinery. The strategic approach that is proposed for the diagnostic routine will involve using novelty detection augmented by temporal classification.
Keywords: Novelty Detection, Mode Classification, Hydraulic Shovels, Electric shovels, Non-Steady State Operation
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