Fault detection method and system

A fault detection and fault data technology, applied in the field of detection, can solve the problem that the principal component analysis method cannot meet the high-precision detection requirements, etc., and achieve the effects of efficient fault detection, high fault detection rate, and improved detection accuracy.

Active Publication Date: 2017-02-22
SUZHOU UNIV
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Problems solved by technology

[0005] However, the application range of principal component analysis is limited to the analysis of the linear relationship between variables, and the data generated in industrial processes usually have nonlinear properties, so principal component analysis cannot meet the high-precision detection requirements

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Embodiment Construction

[0037]The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0038] see figure 1 A schematic flowchart of a fault detection method disclosed by an embodiment of the present invention is shown.

[0039] Depend on figure 1 It can be seen that the method includes:

[0040] S101: Map the existing training data set in the industrial process to a nonlinear feature space, and generate a mapped training sample data set;

[0041] In the embodiment of the present application, the nonlinear mapping function k(x i ,x j )=exp(-γ||x i -x j || 2 ) th...

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Abstract

The present invention discloses a fault detection method and system. The method includes the following steps that: an existing training data set in an industrial process is mapped into a non-linear feature space, so that a mapped training sample data set can be generated; data collected in the industrial process are mapped into the non-linear feature space, so that mapped test data can be generated; and whether the test data are fault data can be judged based on the training sample data set. According to the fault detection method and system provided by the technical scheme provided by the present application, the data collected in the industrial process are mapped into the nonlinear feature space through non-linear mapping, and the training sample data set in the nonlinear feature space are adopted to carry out efficient fault detection on the test data, fault detection accuracy can be improved, and a higher fault detection rate can be achieved.

Description

technical field [0001] The present application relates to the technical field of detection, and more particularly relates to a fault detection method and system. Background technique [0002] With the development of modern production and the advancement of science and technology, modern production equipment is developing in the direction of large-scale, complex and automated, and industrial processes are becoming more and more complex. Once an abnormality occurs, it may affect production safety, efficiency or product quality. Therefore, higher requirements are put forward for the process monitoring of industrial production, such as operation status supervision, process change and fault detection. [0003] In the actual industrial process, there are many uncertain factors and the process is complex, generally including nonlinear, time-varying, variable coupling, time correlation, multi-modal, multi-time, large-scale and other characteristics, making it difficult to establish ...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCY02P90/02G05B19/41885G05B2219/31357
Inventor 张莉周伟达李凡长王邦军张召
Owner SUZHOU UNIV
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