Volume 19, Issue 5 (May 2019)
Modares Mechanical Engineering 2019, 19(5): 1155-1165 |
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Mohammad-Zadeh Eivaghi V, Aliyari Shooredeli M. Sensitivity Analysis and Design of Univariate Alarm System Based on Delay Timer Considering Measurement Errors. Modares Mechanical Engineering 2019; 19 (5) :1155-1165
URL: http://mme.modares.ac.ir/article-15-19020-en.html
URL: http://mme.modares.ac.ir/article-15-19020-en.html
1- Systems & Control Engineering Department, Electrical Engineering Faculty, K.N Toosi University of Technology, Tehran, Iran
2- Mechatronics Department, Electrical Engineering Faculty, K.N Toosi University of Technology, Tehran, Iran ,aliyari@kntu.ac.ir
2- Mechatronics Department, Electrical Engineering Faculty, K.N Toosi University of Technology, Tehran, Iran ,
Abstract: (4167 Views)
An alarm threshold plays an important role in an industrial fault detection system and directly contributes the False Alarm Rate (FAR) and Missed Alarm Rate (MAR). A crucial consideration for designing a threshold is estimating the Probability Density Function (PDF) of both normal and abnormal based on samples. The existence of measurement error in samples will be the contributors to an inaccurate estimation, following that, the alarm threshold will also be inaccurate. Therefore, grasping and recognizing measurement errors is highly important; in this paper, this problem will be investigated. For this purpose, firstly, a mathematical closed-form of statistical parameters will be estimated, and, then, based on error propagation rule, the computation error estimated parameters will be explored. It is assumed the high limit and low limit values of the measurement error are known or computable. Secondly, an approach is introduced to design a varying alarm threshold adapting to the current value of measurement based on . The proposed method is confirmed via a Monte Carlo simulation and it is finally applied to an industrial benchmark, Gas Turbine V94.2, experiencing fouling fault.
Article Type: Original Research |
Subject:
Control
Received: 2018/04/16 | Accepted: 2018/12/5 | Published: 2019/05/1
Received: 2018/04/16 | Accepted: 2018/12/5 | Published: 2019/05/1
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