ON-LINE SENSOR FAULT DETECTION SYSTEM FOR A SMART WHEELCHAIR

In this paper, a baseline system which utilizes dual-channel sensor measurements for aircraft engine on-line diagnostics is developed. This system is composed of a linear on-board engine model (LOBEM) and fault detection and isolation (FDI) logic. The LOBEM provides the analytical third channel against which the dual-channel measurements are compared. When the discrepancy among the triplex channels exceeds a tolerance level, the FDI logic determines the cause of the discrepancy. Through this approach, the baseline system achieves the following objectives: 1) anomaly detection, 2) component fault detection, and 3) sensor fault detection and isolation. The performance of the baseline system is evaluated in a simulation environment using faults in sensors and components.

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A local model on-line sensor fault detection method in the automotive environment

1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335) ◽

10.1109/icips.1997.669273 ◽

2002 ◽

Author(s):

Guihe Qin ◽

Aniin Ge ◽

Yisong Dai

Keyword(s):

Fault Detection ◽

Detection Method ◽

Local Model ◽

Sensor Fault ◽

Sensor Fault Detection ◽

On Line

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Fast and Simple On-Line Sensor Fault Detection Scheme for Wireless Sensor Networks

Embedded and Ubiquitous Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77092-3_39 ◽

2007 ◽

pp. 444-455 ◽

Cited By ~ 4

Author(s):

Jeng-Yang Wu ◽

Dyi-Rong Duh ◽

Tsang-Yi Wang ◽

Li-Yuan Chang

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Fault Detection ◽

Wireless Sensor ◽

Sensor Fault ◽

Detection Scheme ◽

Sensor Fault Detection ◽

On Line

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On-line sensor fault detection, isolation, and accommodation in automotive engines

IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276) ◽

10.1109/imtc.2002.1007218 ◽

2003 ◽

Cited By ~ 2

Author(s):

D. Capriglione ◽

C. Liguori ◽

C. Pianese ◽

A. Pietrosanto

Keyword(s):

Fault Detection ◽

Sensor Fault ◽

Automotive Engines ◽

Sensor Fault Detection ◽

On Line

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Hybrid Kalman Filter Approach for Aircraft Engine In-Flight Diagnostics: Sensor Fault Detection Case

Volume 2: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Controls, Diagnostics and Instrumentation; Environmental and Regulatory Affairs ◽

10.1115/gt2006-90870 ◽

2006 ◽

Cited By ~ 14

Author(s):

Takahisa Kobayashi ◽

Donald L. Simon

Keyword(s):

Kalman Filter ◽

Fault Detection ◽

Linear Models ◽

Detection System ◽

Piecewise Linear ◽

Diagnostic System ◽

Aircraft Engine ◽

Operating Conditions ◽

Sensor Fault ◽

Sensor Fault Detection

In this paper, a diagnostic system based on a uniquely structured Kalman filter is developed for its application to inflight fault detection of aircraft engine sensors. The Kalman filter is a hybrid of a nonlinear on-board engine model (OBEM) and piecewise linear models. The utilization of the nonlinear OBEM allows the reference health baseline of the diagnostic system to be updated, through a relatively simple process, to the health condition of degraded engines. Through this health baseline update, the diagnostic effectiveness of the in-flight sensor fault detection system is maintained as the health of the engine degrades over time. The performance of the sensor fault detection system is evaluated in a simulation environment at several operating conditions during the cruise phase of flight.

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Model-based on-line sensor fault detection in Wireless Sensor Actuator Networks

2015 IEEE 13th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin.2015.7281794 ◽

2015 ◽

Cited By ~ 1

Author(s):

Xuewu Dai ◽

Fei Qin ◽

Zhiwei Gao ◽

Kewen Pan ◽

Krishna Busawon

Keyword(s):

Fault Detection ◽

Wireless Sensor ◽

Sensor Fault ◽

Sensor Actuator ◽

Model Based ◽

Sensor Fault Detection ◽

On Line

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Hybrid Kalman Filter Approach for Aircraft Engine In-Flight Diagnostics: Sensor Fault Detection Case

Journal of Engineering for Gas Turbines and Power ◽

10.1115/1.2718572 ◽

2006 ◽

Vol 129 (3) ◽

pp. 746-754 ◽

Cited By ~ 36

Author(s):

Takahisa Kobayashi ◽

Donald L. Simon

Keyword(s):

Kalman Filter ◽

Fault Detection ◽

Linear Models ◽

Detection System ◽

Piecewise Linear ◽

Diagnostic System ◽

Aircraft Engine ◽

Operating Conditions ◽

Sensor Fault ◽

Sensor Fault Detection

In this paper, a diagnostic system based on a uniquely structured Kalman filter is developed for its application to in-flight fault detection of aircraft engine sensors. The Kalman filter is a hybrid of a nonlinear on-board engine model (OBEM) and piecewise linear models. The utilization of the nonlinear OBEM allows the reference health baseline of the diagnostic system to be updated, through a relatively simple process, to the health condition of degraded engines. Through this health baseline update, the diagnostic effectiveness of the in-flight sensor fault detection system is maintained as the health of the engine degrades over time. The performance of the sensor fault detection system is evaluated in a simulation environment at several operating conditions during the cruise phase of flight.

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