Touati Youcef, Mellal Mohamed Arezki, Benazzouz Djamel
LMSS, Faculty of Engineering Sciences (FSI), M׳Hamed Bougara University, Boumerdes 35000, Algeria.
LMSS, Faculty of Engineering Sciences (FSI), M׳Hamed Bougara University, Boumerdes 35000, Algeria.
ISA Trans. 2016 May;62:299-311. doi: 10.1016/j.isatra.2016.02.012. Epub 2016 Feb 28.
Monitoring of the faults is an important task in mechatronics. It involves the detection and isolation of faults which are performed by using the residuals. These residuals represent numerical values that define certain intervals called thresholds. In fact, the fault is detected if the residuals exceed the thresholds. In addition, each considered fault must activate a unique set of residuals to be isolated. However, in the presence of uncertainties, false decisions can occur due to the low sensitivity of certain residuals towards faults. In this paper, an efficient approach to make decision on fault isolation in the presence of uncertainties is proposed. Based on the bond graph tool, the approach is developed in order to generate systematically the relations between residuals and faults. The generated relations allow the estimation of the minimum detectable and isolable fault values. The latter is used to calculate the thresholds of isolation for each residual.
故障监测是机电一体化中的一项重要任务。它涉及通过使用残差来进行故障的检测和隔离。这些残差代表定义称为阈值的特定区间的数值。实际上，如果残差超过阈值，则检测到故障。此外，每个考虑的故障必须激活一组唯一的残差以进行隔离。然而，在存在不确定性的情况下，由于某些残差对故障的低灵敏度，可能会出现错误决策。本文提出了一种在存在不确定性的情况下进行故障隔离决策的有效方法。基于键合图工具，开发该方法以系统地生成残差与故障之间的关系。生成的关系允许估计最小可检测和可隔离的故障值。后者用于计算每个残差的隔离阈值。
