Fault detection method for redundant sensor based on ICA-SPRT (Independent Component Analysis-Sequential Probability Ratio Test)

A technology of sensor failure and detection method, which is applied in the direction of instruments, measuring devices, testing/calibrating devices, etc., to achieve the effects of eliminating system noise, reducing false alarms and missing alarms, and high detection accuracy

Active Publication Date: 2018-10-02
XIAMEN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, and provides a redundant sensor fault detection met...

Method used

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  • Fault detection method for redundant sensor based on ICA-SPRT (Independent Component Analysis-Sequential Probability Ratio Test)
  • Fault detection method for redundant sensor based on ICA-SPRT (Independent Component Analysis-Sequential Probability Ratio Test)
  • Fault detection method for redundant sensor based on ICA-SPRT (Independent Component Analysis-Sequential Probability Ratio Test)

Examples

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Embodiment

[0089] There are three flow transmitters on the feedwater pipeline of each steam generator in a nuclear power plant, two of which are wide-range and one is narrow-range. The main feedwater flow signal is automatically selected from two redundant wide-range measurements. The case selects the flow data of two wide-range channels of the main water supply pipeline (the flow sampling period is 1 minute, and the sampling points are 10,000) for sensor fault detection.

[0090] Firstly, the ICA algorithm is used to obtain the estimated value of the flow rate, and the residuals of the two channels are obtained respectively, and then the SPRT is used to test, and the ICA test results are compared with the SA (simple average, simple average method) test results.

[0091] see image 3 As shown, where (a) and (c) are the residual data obtained from the flow data of two wide-range channels under the ICA algorithm; the corresponding (b) and (d) are the two wide-range channels under the SA al...

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Abstract

The invention discloses a fault detection method for a redundant sensor based on an ICA-SPRT (Independent Component Analysis-Sequential Probability Ratio Test), which comprises an ICA-SPRT fault detection system, wherein the ICA-SPRT fault detection system comprises a signal independent component analysis module, a signal identification and estimation module and a fault state statistical detectionmodule; the signal independent component analysis module separates independent signals by adopting an ICA algorithm, and finds the independent signal corresponding to an original signal for restoration through the signal identification and estimation module; the fault state statistical detection module obtains fault judgment through an SPRT algorithm. The fault detection method provided by the invention for the redundant sensor based on the ICA-SPRT can effectively eliminate influences of system noise and channel noise, and still can realize accurate fault detection under the condition of lowredundancy.

Description

technical field [0001] The invention relates to the field of signal detection, in particular to an ICA-SPRT-based redundant sensor fault detection method. Background technique [0002] In some important systems, in order to improve the availability and reliability of the system, the parameters of the key parts of the system are tested redundantly. This method is very common in the fields of military industry, aerospace and nuclear power. The health status of the sensors used for parametric testing will directly affect the test results, therefore, the reliability of the sensors also need to be verified or fault detected. [0003] Traditional redundant sensor verification methods include simple average (Simple Average, SA), instrumentation and calibration monitoring program (Instrumentation and Calibration Monitoring Program, ICMP), parity space method and so on. It is difficult for traditional methods to distinguish sensor faults in system parameters with low redundancy. Mo...

Claims

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Application Information

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IPC IPC(8): G01D18/00G01F25/00G06F17/16
CPCG06F17/16G01D18/00G01F25/10
Inventor 谢珊丁军金典蔡源凤吴一纯郑剑香缪惠芳蔡岗全王华清
Owner XIAMEN UNIV
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