Spacecraft Actuator Diagnosis with Principal Component Analysis: Application to the Rendez-Vous Phase of the Mars Sample Return Mission

Nasri, Othman; Gueddi, Imen; Dague, Philippe; Benothman, Kamal

doi:10.1155/2015/204918

Cited by 10 publications

(5 citation statements)

References 22 publications

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“…where is the number of observations used to estimate ARMA model. For AR (1) and MA(1) processes, the results are similar. Substituting ∑ = (1− 2 1 )/ into (10) with ∑ = ∑ = = 0, the EWMA variance for AR(1) processes becomes…”

Section: Designing Of Control Limits Of Residual-based Ewmamentioning

confidence: 58%

“…With progress in distributed control and model predictive control systems, the benefits to various industrial segments such as chemical, petrochemical, cement, steel, power, and desalination industries have been enormous [1]. However, fault detection and diagnosis (FDD) still is a very important supervisory control task in managing process plants.…”

Section: Introductionmentioning

confidence: 99%

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Application of Residual-Based EWMA Control Charts for Detecting Faults in Variable-Air-Volume Air Handling Unit System

Wang

2016

Journal of Control Science and Engineering

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An online robust fault detection method is presented in this paper for VAV air handling unit and its implementation. Residual-based EWMA control chart is used to monitor the control processes of air handling unit and detect faults of air handling unit. In order to provide a level of robustness with respect to modeling errors, control limits are determined by incorporating time series model uncertainty in EWMA control chart. The fault detection method proposed was tested and validated using real time data collected from real VAV air-conditioning systems involving multiple artificial faults. The results of validation show residual-based EWMA control chart with designing control limits can improve the accuracy of fault detection through eliminating the negative effects of dynamic characteristics, serial correlation, normal transient changes of system, and time series modeling errors. The robust fault detection method proposed can provide an effective tool for detecting the faults of air handling units.

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Section: Designing Of Control Limits Of Residual-based Ewmamentioning

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Application of Residual-Based EWMA Control Charts for Detecting Faults in Variable-Air-Volume Air Handling Unit System

Wang

2016

Journal of Control Science and Engineering

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“…PCA combined with multivariate statistical knowledge can be used for FDD of satellite ACSs as well as other complex systems. 139 In various researches, PCA alone or in combination with other methods has been employed for fault analysis in spacecraft or some of its components. 140,141 Expert systems.…”

Section: Qualitative Model-based Fdd Techniquesmentioning

confidence: 99%

Advanced fault detection and diagnosis in spacecraft attitude control systems: Current state and challenges

Pourtakdoust

Mehrjardi

Hajkarim

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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A review of advanced fault detection and diagnosis (FDD) techniques in attitude control systems (ACSs) of spacecraft is presented. In the first part of the paper, several types of ACS failure scenarios with their practical solutions are presented. Next, the existing approaches to FDD are considered and classified based on different criteria, including applications and design techniques. The literature of this part showed that to enhance ACS operational safety, predictability of failure of an ACS and/or of its components as well as reducing the possibility of failure occurrence is imperative. In addition, fast FDD of various kinds of failures is necessary to guarantee the required reliability of an ACS. The second part of this study highlights challenges involved with different FDD approaches, emphasizing their practical applicability. Current research gaps in FDD techniques such as insensitive residual signal, process monitoring methods, accurate plant model design, easy-to-use software development, FDD tuning process, dealing with noisy sensor measurements, time taken for fault management, the sensitivity of FDD system to faults, and FDD robustness are further elaborated on. Subsequently, the state-of-the-art FDD and its future needs are reflected on. The results of this study could direct spacecraft manufacturers and ACS providers to focus on future needs and improve ground testing for enhanced operational reliability and redundancy.

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“…Assume that the process under diagnosis consists of some components which is possible to fail or not fail. In a typical control loop, the components can be sensors, actuators, controllers, process models, and so on [28]. Training Data.…”

Section: Preliminaries: Bayesian Diagnosis For Control Loop Systemsmentioning

confidence: 99%

“…(d) Compute the eigenvector w using (28), and the mode corresponding to the largest element 1 is the sought operating mode.…”

Section: Consistent Partially Orderedmentioning

confidence: 99%

A Bayesian Approach to Control Loop Performance Diagnosis Incorporating Background Knowledge of Response Information

Zhou

Wang

2017

Journal of Control Science and Engineering

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To isolate the problem source degrading the control loop performance, this work focuses on how to incorporate background knowledge into Bayesian inference. In an effort to reduce dependence on the amount of historical data available, we consider a general kind of background knowledge which appears in many applications. The knowledge, known as response information, is about what faults can possibly affect each of the monitors. We show how this knowledge can be translated to constraints on the underlying probability distributions and introduced in the Bayesian diagnosis. In this way, the dimensionality of the observation space is reduced and thus the diagnosis can be more reliable. Furthermore, for the judgments to be consistent, the set of posterior probabilities of each possible abnormality that are computed from different observation subspaces is synthesized to obtain the partially ordered posteriors. The eigenvalue formulation is used on the pairwise comparison matrix. The proposed approach is applied to a diagnosis problem on an oil sand solids handling system, where it is shown how the combination of background knowledge and data enhances the control performance diagnosis even when the abnormality data are sparse in the historical database.

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Spacecraft Actuator Diagnosis with Principal Component Analysis: Application to the Rendez-Vous Phase of the Mars Sample Return Mission

Cited by 10 publications

References 22 publications

Application of Residual-Based EWMA Control Charts for Detecting Faults in Variable-Air-Volume Air Handling Unit System

Application of Residual-Based EWMA Control Charts for Detecting Faults in Variable-Air-Volume Air Handling Unit System

Advanced fault detection and diagnosis in spacecraft attitude control systems: Current state and challenges

A Bayesian Approach to Control Loop Performance Diagnosis Incorporating Background Knowledge of Response Information

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