| SENSOR FAILURE DETECTION AND SIGNAL RECOVERY BASED ON BP NEURAL NETWORK |
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| 作者姓名： | Niu Yongsheng Zhao Xinmin |
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| 作者单位： | Dept of Electrical Engineering，Harbin Institute of Technology，Harbin，150001，China |
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| 摘 要： | Manyhighpefformancecontrolsystemsmusthavefauhtolerantabilityagainstsensorfailures.Theapplicationofprevioussensorfailuredetectinnmethods,mostlybasedonanalyti-calredundancy'Jlislimitedbecausetheyrequireaprecise.mathematicalmedel.BPneuralnetwork(BPNN)isabletolearnanycomplicatedcontinuousnonlinearfunctions,therefore,itcanbeusedtodetectsensorfailuresandrecoverthesignalforthefailedsensor'Recentpubli-cationshavedemonstratedtheuseofBPNNfordetectingsomkindofsensorfailuresandre-coveringthefailedsen…
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SENSOR FAILURE DETECTION AND SIGNAL RECOVERY BASED ON BP NEURAL NETWORK |
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| Niu Yongsheng, Zhao Xinmin.SENSOR FAILURE DETECTION AND SIGNAL RECOVERY BASED ON BP NEURAL NETWORK[J].Chinese Journal of Aeronautics,1997(2). |
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| Authors: | Niu Yongsheng Zhao Xinmin |
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| Abstract: | A study is given on the application of BP neural network (BPNN) in sensorfailure detection in control systems, and on the networ architecture desgn, the redun-dancy,the quickness and the insensitivity to sensor noise of the BPNN based sensor detec-tion methed. Besules, an exploration is made into tbe factors accounting for the quality ofsignal recovery for failed sensor using BPNN. The results reveal clearly that BPNN can besuccessfully used in sensor failure detection and data recovery. |
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| Keywords: | neural nets failure detection sensors signal recovery |
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