The application of multisensors fusion in Vehicle Transmission System Fault Diagnosis

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

Multi-sensors fusion technology is adopted for fault diagnosis of vehicle transmission system. By using hybrid pattern fusion based on artificial neural networks (ANN), the robustness of the diagnosing system is improved greatly. This hybrid fusion pattern avoids working with a great deal of original data from sensors, while it has the advantage of less information lost. At the same time, the diagnosis effect is improved by using feature-level and decision-level vibration data and original-level lube data
Original languageEnglish
Title of host publicationProceedings: 3rd International Conference on Natural Computation: ICNC 2007
EditorsJ Lei
Place of PublicationChina
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages728-731
Number of pages4
ISBN (Print)9780769528755
DOIs
Publication statusPublished - 2007
Event3rd International Conference on Natural Computation: ICNC 07 - Haikou, Haikou, China
Duration: 28 Aug 200730 Aug 2007

Conference

Conference3rd International Conference on Natural Computation
CountryChina
CityHaikou
Period28/08/0730/08/07

Fingerprint

Vehicle transmissions
Sensor data fusion
Failure analysis
Fusion reactions
Neural networks
Sensors

Cite this

Wu, X., Liu, S., & Sharma, D. (2007). The application of multisensors fusion in Vehicle Transmission System Fault Diagnosis. In J. Lei (Ed.), Proceedings: 3rd International Conference on Natural Computation: ICNC 2007 (pp. 728-731). China: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICNC.2007.709
Wu, Xiaobing ; Liu, Shuangzhe ; Sharma, Dharmendra. / The application of multisensors fusion in Vehicle Transmission System Fault Diagnosis. Proceedings: 3rd International Conference on Natural Computation: ICNC 2007 . editor / J Lei. China : IEEE, Institute of Electrical and Electronics Engineers, 2007. pp. 728-731
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abstract = "Multi-sensors fusion technology is adopted for fault diagnosis of vehicle transmission system. By using hybrid pattern fusion based on artificial neural networks (ANN), the robustness of the diagnosing system is improved greatly. This hybrid fusion pattern avoids working with a great deal of original data from sensors, while it has the advantage of less information lost. At the same time, the diagnosis effect is improved by using feature-level and decision-level vibration data and original-level lube data",
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Wu, X, Liu, S & Sharma, D 2007, The application of multisensors fusion in Vehicle Transmission System Fault Diagnosis. in J Lei (ed.), Proceedings: 3rd International Conference on Natural Computation: ICNC 2007 . IEEE, Institute of Electrical and Electronics Engineers, China, pp. 728-731, 3rd International Conference on Natural Computation, Haikou, China, 28/08/07. https://doi.org/10.1109/ICNC.2007.709

The application of multisensors fusion in Vehicle Transmission System Fault Diagnosis. / Wu, Xiaobing; Liu, Shuangzhe; Sharma, Dharmendra.

Proceedings: 3rd International Conference on Natural Computation: ICNC 2007 . ed. / J Lei. China : IEEE, Institute of Electrical and Electronics Engineers, 2007. p. 728-731.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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Wu X, Liu S, Sharma D. The application of multisensors fusion in Vehicle Transmission System Fault Diagnosis. In Lei J, editor, Proceedings: 3rd International Conference on Natural Computation: ICNC 2007 . China: IEEE, Institute of Electrical and Electronics Engineers. 2007. p. 728-731 https://doi.org/10.1109/ICNC.2007.709