Title :
An ensemble approach to estimate the fault-time instant
Author :
Alippi, Cesare ; Boracchi, Giacomo ; Puig, Vicenc ; Roveri, Manuel
Author_Institution :
Dipt. di Elettron., Inf. e Bioingegneria, Politec. di Mlano, Milan, Italy
Abstract :
Since systems are prone to faults, fault detection and isolation are essential activities to be considered in safety-critical applications. In this direction, the availability of a sound estimate of the time instant the fault occurred is a precious information that a diagnosis system can fruitfully exploit, e.g., to identify information consistent with the faulty state. Unfortunately, any fault-detection system introduces a structural delay that, typically, increases in correspondence of subtle faults (e.g., those characterized by a small magnitude) with a consequence that the fault-occurrence time is overestimated. In this paper we propose an ensemble approach to estimate the time instant a fault occurred. We focus on systems that can be described as ARMA models and faults inducing an abrupt change in the model coefficients.
Keywords :
autoregressive moving average processes; condition monitoring; fault diagnosis; reliability; ARMA model; ensemble approach; fault detection; fault diagnosis system; fault isolation; fault-occurrence time; fault-time instant; safety-critical application; structural delay; Computational modeling; Fault detection; Fault diagnosis; Predictive models; Random variables; Training; Vectors;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-6248-1
DOI :
10.1109/ICICIP.2013.6568188