Detecting scalar intermittent faults in linear stochastic dynamic systems

Chen, Maoyin; Xu, Guibin; Yan, Rongyi; Ding, Steven X.; Zhou, Donghua

doi:10.1080/00207721.2013.809612

Cited by 16 publications

(36 citation statements)

References 30 publications

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“…An IF can be characterised by five parameters: fault length, active duration time, inactive duration time, location and magnitudes [10]. Here, a class of IFs formulated in the following form [9] is provided to describe these characterisations…”

Section: Problem Formulationmentioning

confidence: 99%

“…Note that t is selected to satisfy 0 < t < τ . Based on the relative positions of S(t, t) and A q , the characteristics of p s,0 (t, t) can be analysed as follows [9]: S(t, t). Therefore, p s,0 (t, t) is no longer 0, and we can derive the value of p s,0 (t, t) as p s,…”

Section: Characteristics Of the Novel Residual R (T T )mentioning

confidence: 99%

“…From (11), we obtain E[p s,1 (t, t)] = 0, where E[·] denotes the expectation of a stochastic variable. Moreover, according to the theoretical knowledge of the mean R-S integral [18,19], the variance of p s,1 (t, t) can be derived as follows through uncomplicated computations [9,20] Var[p s,1 (t, t)]…”

Section: Characteristics Of the Novel Residual R (T T )mentioning

confidence: 99%

“…Hence, there is a compelling need to develop valid detection schemes for IFs to ensure safety and reliability of practical systems [8,9]. As a special kind of faults, IFs are difficult to detect, especially in the presence of time-varying parametric perturbations and stochastic noises [2,9,10,14]. In its infancy, an IF manifests itself as small noise fluctuations [2].…”

Section: Introductionmentioning

confidence: 99%

“…One commonly encountered type of faults in practical engineering is intermittent faults (IFs), which frequently appears in electronic systems, aerospace systems, mechanical equipment and power systems [9][10][11]. IFs are related to system degradation, device wear-out, manufacture or design defects and harsh environments [9,10].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Detection of intermittent faults for linear stochastic systems subject to time‐varying parametric perturbations

Yan

Zhou

2016

IET Control Theory & Applications

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In this study, the robust detection problem of intermittent faults (IFs) for linear stochastic systems subject to time-varying parametric perturbations is addressed. The authors consider the case that an IF appears and disappears non-deterministically, and lasts for random periods of active time with unknown magnitudes. A novel robust fault detection method is presented to detect all the appearing time and the disappearing time of an IF. Based on the output of an observertype residual generator, a novel robust residual is constructed by utilising a sliding-time window. Two hypothesis tests are provided to detect all the appearing and the disappearing time, respectively. Moreover, the detectability of the IF by using the proposed robust detection scheme is defined in a probabilistic sense, and a sufficient detectability condition is presented within the given framework. Capacities of false alarm rates and missed detection rates are rigorously analysed. Finally, the application of the presented scheme is illustrated on a simplified radial flight control system and the results show that the IF can be effectively detected in the presence of perturbations and noises.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Characteristics Of the Novel Residual R (T T )mentioning

confidence: 99%

Section: Characteristics Of the Novel Residual R (T T )mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Detection of intermittent faults for linear stochastic systems subject to time‐varying parametric perturbations

Yan

Zhou

2016

IET Control Theory & Applications

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Improved fault detection and control allocation for hypersonic re‐entry vehicle subject to intermittent fault and disturbance

Chen

Jin

Wang

2021

Intl J Robust & Nonlinear

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This study investigates the nonlinear fault detection and control allocation of a hypersonic re‐entry vehicle with intermittent faults and disturbances. The uncertain external disturbances in the inner loop system are processed on the basis of the studied intermittent fault mode. A set of residuals is generated by sliding time windows, and two hypothesis tests based on the residual mean are proposed to detect the appearance and disappearance of faults. An augmented observer is used to estimate the faults subject to the L2‐gain disturbance rejection constraint. A nonlinear backstepping fault‐tolerant control is designed to generate the desired control torque and make the output attitude track the given signal. An optimization control allocation algorithm distributes the desired torque to aerodynamic surfaces and reaction control system jets. The stability of the schemes is analyzed by Lyapunov and linear matrix inequality theories. Numerical simulation and rapid prototyping results are presented to demonstrate the validity of the proposed methods.

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