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Feedwater pump fault detection method based on minimum sufficient statistics pattern analysis

A technology of pattern analysis and fault detection, applied in computing, data processing applications, instruments, etc., can solve problems such as performance degradation, difficulty in obtaining fault samples, and failure to detect faults, and achieve the effect of high detection accuracy

Active Publication Date: 2021-11-12
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First, these methods require a large number of fault samples to train the model, and it is particularly difficult to obtain fault samples in the actual process.
Moreover, the performance of these methods drops sharply when the status signal of the feed pump is in a non-Gaussian distribution
More importantly, these methods cannot detect the fault when the fault degree is low, so that the fault can be eliminated in time

Method used

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  • Feedwater pump fault detection method based on minimum sufficient statistics pattern analysis
  • Feedwater pump fault detection method based on minimum sufficient statistics pattern analysis
  • Feedwater pump fault detection method based on minimum sufficient statistics pattern analysis

Examples

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Embodiment 1

[0091] A fault detection method for feedwater pumps based on minimum sufficient statistics pattern analysis, including the following steps:

[0092] Step 1: Collect steam-driven feedwater pump operation and related state data from the DCS of a 300MW unit in a power plant. The sampling time is 1s. The specific state variables are shown in Table 1. Collect 5000 groups in normal state, and then standardize the mean value to 0 and the standard deviation to 1 to form the training data set X∈R m×n . Among them, m=11 is the number of state variables, and n=5000 is the number of training samples. In addition, 900 sets of data on the transition from normal state to fault state of two common faults of fluid cavitation and abnormal wear of the steam-driven feedwater pump were collected to test the effect of the method.

[0093] Table 1 Status Data

[0094] Feed water pump inlet flow Feed water pump inlet temperature Feed water pump radial shaft vibration X direction ...

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Abstract

The invention discloses a method for detecting faults of feed water pumps based on minimum sufficient statistic pattern analysis, which uses minimum sufficient statistic pattern analysis to establish a statistical model, sequentially performs orthogonal transformation and minimum sufficient statistic calculation, and controls the operation of the feedwater pump and related The state parameters are converted into statistical indicators; the statistical indicators are modeled using the principal component analysis method, and T is calculated in the principal component space 2 A statistic that issues a failure alert when it crosses a threshold. The invention can well solve the difficulty of online fault detection of the feed water pump caused by non-Gaussian state data of the feed water pump and the mutual coupling of various states through the minimum sufficient statistic mode analysis, and improve the accuracy of fault detection.

Description

technical field [0001] The invention relates to the field of thermal automatic control and process monitoring, in particular to a fault detection method of a feed water pump based on minimum sufficient statistics pattern analysis. Background technique [0002] Feedwater pumps are widely used in industrial processes such as power stations, chemicals, and pharmaceuticals. Accurate and timely detection of feedwater pump failures is an important means to ensure equipment safety and product quality. In recent years, especially in power plant boilers, the feedwater pumps have gradually become larger and more complex, and the model-based fault detection method has the problem of complex mechanism modeling; while the fault detection method based on empirical knowledge has encountered difficulties in knowledge acquisition. Therefore, the data-driven fault detection method has become the mainstream technology in the field of fault detection. However, in the actual process, the state ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/0635
Inventor 董顺李益国刘西陲沈炯潘蕾吴啸
Owner SOUTHEAST UNIV