Results 211 to 220 of about 80,379 (230)
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Fault Aware Wireless Sensor Networks
2007 IEEE International Conference on Networking, Sensing and Control, 2007Wireless Sensor Networks (WSNs) collect information about the physical environment aiding to a wide variety of applications ranging from target detection to monitoring of harmful chemical gases. The drive to scale down the system size and cost has resulted in constraints in the quality of components.
Fatima A. Zohra, Rastko R. Selmic
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Reconstruction of Sensor Faults
2011This chapter will focus specifically on sensor faults. Different formulations will be considered in which the measured output signals are filtered to yield ‘fictitious systems’ in which sensor faults appear as ‘actuator faults’. Consequently, the actuator fault reconstruction ideas from the previous chapters can be applied to the fictitious system to ...
Halim Alwi +2 more
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Proceedings of the 2003 American Control Conference, 2003., 2004
Current sensor FDIR (fault detection, isolation, & recovery) generally focuses on sensor bias and drift anomalies, which require models. However, dead sensors and excessive noise faults are more common in practice. The latter two faults are interesting in that they can be detected using only the measurements from each sensor.
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Current sensor FDIR (fault detection, isolation, & recovery) generally focuses on sensor bias and drift anomalies, which require models. However, dead sensors and excessive noise faults are more common in practice. The latter two faults are interesting in that they can be detected using only the measurements from each sensor.
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Sensor Optimal Configuration Method for Sensor Fault Detection
2020 Chinese Automation Congress (CAC), 2020For the limited number of sensors, an optimized sensor configuration method for sensor fault detection is proposed. By defining the concept of the sensor information redundancy and its measurement, the performance evaluation criteria for different configuration modes are given, and a sensor optimal placement strategy for ensuring maximum information ...
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Fault-Tolerant Predictive Control with Sensor Faults
In this paper, a Fault-Tolerant Model Predictive Controller (FTMPC) is developed for linear Variable Parameter Systems (LPVs) subject to sensor faults and input constraints. First, an augmented state-space model contains both state variables and estimation error is used to synthesize a robust predictive controller while an observer is designed to ...Sofiane, Bououden +4 more
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Fault Tolerant Distributed Sensor Networks
2020Fault tolerant computer systems are systems designed around the concepts of fault tolerance. In essence, they must be able to continue working to a level of satisfaction in the presence of faults. Fault tolerance is not just a property of individual machines; it may also characterize the rules by which they interact.
Pawel Sniatala +2 more
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Fault Detection with Sensor Errors
IFAC Proceedings Volumes, 2001ABSTRACT A scheme for fault detection with sensor errors is discussed. Sensor output generally contains scale factor error and misalignment error as well as constant bias. In this paper the neural network is applied to compensate the residuals calculated by optimal parity vector method in order to remove the effect of sensor errors.
Min You, Hong Zhuan Qiu, Hong Yue Zhang
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Fusion-based sensor fault detection
Proceedings of 8th IEEE International Symposium on Intelligent Control, 2002A fusion-based fault detection and diagnosis system is introduced for a multisensor system where the fault detection process is divided into three stages and the uncertainty-reductive-fusion technique is used to detect possible sensor failures. A fuzzy rule-based diagnosis is performed in order to analyze and to try to correct for the signaled faults. >
S. Park, C.S.G. Lee
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Flow sensor fault during induction
Canadian Journal of Anesthesia/Journal canadien d'anesthésie, 2021Yuki Kojima +2 more
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Single-Sensor Incipient Fault Detection
IEEE Sensors Journal, 2011This study presents a new detection method based on wavelet transform and kernel principal component analysis (KPCA) for single-sensor incipient faults. Wavelet transform is first utilized to extract the featured information of process noise while the single-sensor fault is analyzed by KPCA subsequently.
L. Ren, Z. Y. Xu, X. Q. Yan
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