ROBUST FAULT DIAGNOSIS AND PROGNOSTICS OF A HOISTING MECHANISM: A SIMULATION STUDY

In this article, different methodology in the area of fault isolation, robustness in fault diagnosis, parameter estimation (for root cause analysis) and prognostics are surveyed and applied to a model developed for a hoisting mechanism mounted on a vehicle with planer oscillation. The developed model is of multi energy complexity and intended to isolate the components responsible for abnormal behaviour of the system using structural analysis of some constraint relations, called Analytical Redundancy Relations (ARR), the numerical evaluation of which are residuals. Bond graph modelling, which is a unified tool for multi-energy domain system representation, is used to model the system. The fault indicators and fault signatures are derived from the model. The robustness in fault detection is addressed through passive approach to make residuals insensitive to uncertainty of system parameters. Also, multi-tier parallel simulation method is applied to isolate some structurally nonisolable faults. Then, faulty parameters are estimated to predict remaining useful life for prognostics analysis.