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Method for separating minor faults in industrial processes

A technology of industrial process and separation method, which is applied in the field of separation of micro-faults in industrial process, can solve problems such as wrong separation results, and achieve the effect of being convenient for practical application

Active Publication Date: 2017-10-20
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to propose a separation method for micro-faults in industrial processes in view of the existing traditional methods that easily lead to wrong separation results when dealing with the problem of micro-fault separation

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  • Method for separating minor faults in industrial processes
  • Method for separating minor faults in industrial processes
  • Method for separating minor faults in industrial processes

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Embodiment Construction

[0033] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0034] Such as figure 1 As shown, a separation method for micro-faults in industrial processes, including:

[0035] Step 1: collect a section of sensor measurement data under normal working conditions of the industrial process as a training data set, and establish a multivariate statistical process monitoring model for the training data set;

[0036] The sensor measurement data under normal working conditions of the industrial process is collected as a training data set, stored as a two-dimensional data matrix, and the data matrix is ​​standardized. Specifically, the collected training data is stored as a two-dimensional data matrix X 0 ∈ R N×m , where each row represents a sample, each column represents a sensor variable, and the data matrix contains N samples and m variables. to x 0 Standardize, that is, X 0 Each co...

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Abstract

The invention discloses a method for separating minor faults in industrial processes and in particular relates to the technical field of industrial process monitoring and fault diagnosis. The method comprises the following steps of: acquiring a piece of sensor measurement data under an industrial process normal operating condition as a training data set and establishing a multivariate statistical process monitoring model of the training data set; acquiring sensor measurement data under an industrial process real-time operating condition as test data, wherein a measurement variable in the test data corresponds to a measurement variable in the training data set; giving an appropriate smoothing parameter, calculating an exponentially weighted moving average sample value at each sampling moment based on the real-time acquired test data; calculating an exponential smooth reconstruction-based contribution value in each fault direction; and determining the fault direction with the maximum exponential smoothing reconstruction-based contribution value as an actual fault to realize fault separation. Compared with the prior art, the method does not need a mathematical model of the industrial process and can be applied to various statistical process monitoring models.

Description

technical field [0001] The invention relates to the technical field of industrial process monitoring and fault diagnosis, in particular to a method for separating minor faults in industrial processes. Background technique [0002] Modern industrial processes are large in scale and complex in structure. Once the process is abnormal, it may cause huge economic losses and even endanger personal safety. Process monitoring and fault diagnosis technology can effectively improve system reliability, equipment maintainability and reduce accident risk, and has become one of the research hotspots in the field of process control. In addition, more serious faults are usually evolved from small faults, and many major catastrophic accidents in history were also caused by small anomalies in the system that were not detected and resolved in time. Therefore, the harm of minor faults cannot be ignored, timely detection and separation of minor faults, and effective protection measures are of g...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 周东华纪洪泉何潇卢晓
Owner SHANDONG UNIV OF SCI & TECH
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