Mechanical Fault Detection in Machinery Operating Under Non-Steady State Conditions
CIM Edmonton 2004
Markus A Timusk, Mike Lipsett,
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.
Novelty Detection, Mode Classification, Hydraulic Shovels, Electric shovels, Non-Steady State Operation