Feed-forward observer-based intermittent fault detection

Sedighi, Tabassom; Foote, Peter; Sydor, Piotr

doi:10.1016/j.cirpj.2016.08.004

Cited by 14 publications

(4 citation statements)

References 27 publications

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“…As time goes on, the interval (active) time may get longer and the magnitudes may become larger until the IF turns into a persistent fault. Hence, a class of IFs can be treated as a combination of square‐wave pulse at discrete intervals mathematically [35]

f false(k false) = ({, \begin{aligned} m_{1} & for & k_{1 a} \leq k < k_{1 d}, \\ m_{2} & for & k_{2 a} \leq k < k_{2 d}, \\ ⋮ & ⋮ & ⋮ \\ m_{q} & for & k_{q a} \leq k < k_{q d}, \\ ⋮ & ⋮ & ⋮ \\ m_{n - 1} & for & k_{false(n - 1 false) a} \leq k < k_{false(n - 1 false) d}, \\ m_{n} & for & k_{n a} \leq k < k_{n d}, \end{aligned})

where

k_{q a}

and

k_{q d}

are, respectively, the q th appearing and disappearing time of the IF. The q th interval time and active time can be defined as

τ_{q}^{i n} = k_{false(q + 1 false) a} - k_{q d}

and

τ_{q}^{a c} = k_{q d} - k_{q a}

, respectively.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Intermittent fault detection for discrete‐ time linear stochastic systems with time delay

Zhang

Sheng

Gao

et al. 2020

IET Control Theory & Applications

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f false(k false) = ({, \begin{aligned} m_{1} & for & k_{1 a} \leq k < k_{1 d}, \\ m_{2} & for & k_{2 a} \leq k < k_{2 d}, \\ ⋮ & ⋮ & ⋮ \\ m_{q} & for & k_{q a} \leq k < k_{q d}, \\ ⋮ & ⋮ & ⋮ \\ m_{n - 1} & for & k_{false(n - 1 false) a} \leq k < k_{false(n - 1 false) d}, \\ m_{n} & for & k_{n a} \leq k < k_{n d}, \end{aligned})

where

k_{q a}

and

k_{q d}

are, respectively, the q th appearing and disappearing time of the IF. The q th interval time and active time can be defined as

τ_{q}^{i n} = k_{false(q + 1 false) a} - k_{q d}

and

τ_{q}^{a c} = k_{q d} - k_{q a}

, respectively.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Intermittent fault detection for discrete‐ time linear stochastic systems with time delay

Zhang

Sheng

Gao

et al. 2020

IET Control Theory & Applications

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“…In [23], the probability statistics method is used for the characteristics of intermittent faults to determine the probability value of the upper and lower bounds of the failed unit, and a method can be used to diagnose the permanent fault and intermittent fault of the scanning link. In order to meet the requirements of intermittent fault diagnosis, a new self-feedback observer is designed and applied to detect and diagnose sensor intermittent faults in [24].…”

Section: Diagnosis/prediction Methodsmentioning

confidence: 99%

A Survey on Intermittent Fault Diagnosis for Electronic System

Wu¹,

Sheng²,

Qian³

et al. 2017

Proceedings of the 2nd International Conference on Computer Engineering, Information Science &Amp; Application Technology (ICCI

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Abstract. The intermittent fault of electronic system is often misdiagnosed as a permanent fault, resulting in problems such as unnecessary repeated downtime, excessive repair and a large loss of spare parts, and affecting equipment readiness. Starting from the overall development of intermittent fault for electronic system to tease out the research direction, this paper focuses on the research of intermittent fault for electronic system from four aspects: the failure mode, cause and mechanism analysis, modeling method, detection method and diagnosis / prediction method, and points out the shortcomings of the current research on intermittent fault of electronic system.

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“…for 0 % t % 30s f i 1 for 30s % t % 40s 0 for 40s % t % 100s f i 2 for 100s % t % 160s 0 for 160s % t % 200s f i 3 for 200s % t % 260s 0 for 260s % t % 280s f i 4 for 280s % t % 360s (15) where dd 1 $ 0#0020, dd 2 $ 0#0035, dd 3 $ 0#0050 and dd 4 $ 0#080 are constants, n c $ 1$ " " " $ 5 is the choice of output and t indicates the time in seconds.…”

Section: E Overall System Modelmentioning

confidence: 99%

“…For more details on the nonlinear observer design for the system and it's error stability see [15]. In general the fault detection system consists of two parts, 1" residual generation, 2" residual evaluation [17].…”

Section: Intermittent Fault Detectionmentioning

confidence: 99%

Intermittent fault detection on an experimental aircraft fuel rig: Reduce the No Fault Found rate

Sedighi

Foote

Khan

2015

2015 4th International Conference on Systems and Control (ICSC)

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Abstract-In the context of aircraft engineering and maintenance, No Fault Found (NFF) is a chain of events that develops from a pilot experiencing a system malfunction with postflight maintenance failing to reproduce the reported symptoms. Without any repair being undertaken, the malfunction may be experienced again on subsequent flights. This present significant cost impacts to the industry that includes financial, reduced operational achievement, airworthiness challenges and potential flight safety issues. One of the major causes identified for NFF occurrence within electronic, mechanical and hydraulic products are faults that are intermittent in nature. This makes it difficult to use systematic fault detection techniques effectively, as system are subject to unknown disturbances and model uncertainties. The philosophy behind this criterion is that the designed model-based Fault Detection (FD) observer should be robust to disturbances but sensitive to intermittent faults where the occupance of intermittent faults can be alarmed by the use of an adaptive threshold. The aim of this paper is to demonstrate the development of such methodologies and to examine its performance in a real-world test bed. The test bed consists of an aircraft fuel system simulation rig which simulates by hardware the components of an aircraft fuel system.

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Feed-forward observer-based intermittent fault detection

Cited by 14 publications

References 27 publications

Intermittent fault detection for discrete‐ time linear stochastic systems with time delay

Intermittent fault detection for discrete‐ time linear stochastic systems with time delay

A Survey on Intermittent Fault Diagnosis for Electronic System

Intermittent fault detection on an experimental aircraft fuel rig: Reduce the No Fault Found rate

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