This paper discusses the application of particle filtering algorithms to fault diagnosis in complex industrial processes. We consider two ubiquitous processes: an industrial dryer and a level tank. For these applicati...
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(纸本)0262025507
This paper discusses the application of particle filtering algorithms to fault diagnosis in complex industrial processes. We consider two ubiquitous processes: an industrial dryer and a level tank. For these applications, we compared three particlefiltering variants: standard particlefiltering, Rao-Blackwellised particlefiltering and a version of Rao-Blackwellised particlefiltering that does one-step look-ahead to select good sampling regions. We show that the overhead of the extra processing per particle of the more sophisticated methods is more than compensated by the decrease in error and variance.
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