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Published in 2019 at "Asian Journal of Control"
DOI: 10.1002/asjc.2241
Abstract: In this paper, the detection problem of intermittent multiplicative sensor fault is investigated for stochastic uncertain systems. A robust optimal filter is designed according to the criterion of minimum estimation error covariance. Then, based on…
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Keywords:
intermittent multiplicative;
multiplicative sensor;
detection;
fault ... See more keywords
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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2901-3
Abstract: Abstract This work presents a sensor-fault-tolerant design applied to a decentralized dissolved oxygen control in an activated sludge process subject to sensor faults such as bias and slow drifts. The core idea is to use…
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Keywords:
fault;
soft sensor;
sensor fault;
control ... See more keywords
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Published in 2019 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2019.114098
Abstract: Abstracts Sensors play essential roles in industrial automatic control systems. The faulty or inaccurate sensors may cause uncomfortable thermal environments, shortened component lifetime and energy consumption loss. Considering the condition-adaptive issue of principal component analysis…
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Keywords:
diagnosis;
sensor fault;
detection diagnosis;
pca ... See more keywords
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Published in 2019 at "Advances in Space Research"
DOI: 10.1016/j.asr.2019.02.007
Abstract: Abstract Satellite attitude determination accuracy significantly drops when sensor-fault occurs. Hence, a proper mitigation strategy to detect sensor-fault and accurately estimate corresponding fault magnitudes is mandatory for robust and accurate attitude determination. In this paper,…
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Keywords:
sensor fault;
attitude determination;
stage;
sensor ... See more keywords
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Published in 2018 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2018.05.025
Abstract: Abstract Since the outdoor and indoor load conditions always change continuously, it may lead to the various operation characteristics in chillers. If a single principal component analysis (PCA) model is applied to detect and diagnose…
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Keywords:
pca model;
sensor;
operation;
sensor fault ... See more keywords
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Published in 2017 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2017.03.001
Abstract: Abstract This paper develops a sensor fault diagnosis (SFD) scheme for a multi-input and multi-output linear dynamic system under feedback control to identify different types of sensor faults (bias, drift and precision degradation), particularly for…
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Keywords:
sensor fault;
control;
feedback control;
data driven ... See more keywords
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Published in 2018 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2018.01.002
Abstract: Abstract This paper considers the isolation problem of incipient sensor fault. Based on recursive transformed component statistical analysis (RTCSA), two different isolation methods are proposed. The first method is called subspace reconstruction, where elements in…
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Keywords:
detection;
sensor fault;
recursive transformed;
based recursive ... See more keywords
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Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2016.08.028
Abstract: Abstract This paper presents a methodology for sensor fault diagnosis in nonlinear systems using a Mixture of Probabilistic Principal Component Analysis (MPPCA) models. This methodology separates the measurement space into several locally linear regions, each…
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Keywords:
methodology;
sensor;
fault diagnosis;
sensor fault ... See more keywords
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Published in 2021 at "International Journal of Control"
DOI: 10.1080/00207179.2019.1662489
Abstract: This paper studies the problem of sensor fault interval estimation for discrete-time linear system with unknown but bounded disturbances and noises. A descriptor system which is equivalent to the original system is constructed by considering…
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Keywords:
interval estimation;
fault;
estimation;
zonotopic kalman ... See more keywords
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Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.3022099
Abstract: A few sensing techniques have been developed for detecting defects in civil infrastructures in structural health monitoring (SHM) instead of onsite human inspection. Many false alarms observed are due to faults in sensors, and some…
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Keywords:
sensor fault;
fault structural;
fault;
structural damage ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3187708
Abstract: Soft sensors are widely used in many industrial systems to monitor key variables that are difficult to measure, using measurements from other available physical sensors. Because physical sensors are susceptible to faults, it is crucial…
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Keywords:
approach;
soft sensor;
sensor fault;
zero shot ... See more keywords