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Fault diagnosis method for non-stationary characteristics of mega-kilowatt ultra-supercritical units

A non-stationary and stable technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as the failure of 1 million kilowatt ultra-supercritical units, and no research reports have yet been reported, to improve performance, ensure safe and reliable operation, accurate The effect of locating and repairing faults

Active Publication Date: 2021-07-02
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, there are two problems when the online fault diagnosis method based on traditional multivariate statistical analysis is applied to the production process of the actual ultra-supercritical 1 million-kilowatt unit: First, many failures may occur during the operation of the 1-million-kilowatt ultra-supercritical unit
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  • Fault diagnosis method for non-stationary characteristics of mega-kilowatt ultra-supercritical units
  • Fault diagnosis method for non-stationary characteristics of mega-kilowatt ultra-supercritical units
  • Fault diagnosis method for non-stationary characteristics of mega-kilowatt ultra-supercritical units

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Embodiment Construction

[0093] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific examples.

[0094] The production process of large-scale coal-fired power generation, especially the fault process, is a typical non-stationary process, and some of the variables have obvious non-stationary characteristics, such as the circulating water pressure of the condenser, the inlet steam pressure of the high-pressure heater, and the condensation at the inlet of the deaerator. water volume etc. The present invention takes unit No. 7 of Jiahua Power Plant, a subsidiary of Zheneng Group, as an example. The unit has a power of 10,000MW and is an ultra-supercritical unit of one million kilowatts. It includes 46 process variables, and these variables involve pressure, temperature, flow rate, flow rate, etc. .

[0095] Such as figure 2 As shown, the present invention is an online fault diagnosis method for the non-stationary fault characteristic...

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Abstract

The invention discloses an online fault diagnosis method for the non-stationary fault characteristics of a million-kilowatt ultra-supercritical unit. The invention aims at the non-stationary, complex and changeable characteristics of the failure process of the million-kilowatt supercritical unit, and combines cointegration analysis and dual models based on variable selection for fault diagnosis. This method overcomes the non-stationary characteristics of the fault process of large coal-fired units, fully excavates the potential information contained in the faults, and establishes a dual diagnosis model, which complements each other and complements each other, effectively solving the problem of difficult online diagnosis of complex non-stationary fault processes. problem, which greatly improves the performance of online diagnosis of non-stationary fault process, and helps field engineers to accurately repair the fault, thus ensuring the safe and reliable operation of million-kilowatt ultra-supercritical generating units and improving production efficiency.

Description

technical field [0001] The invention belongs to the field of statistical monitoring of non-stationary processes, in particular to an online fault diagnosis method for the non-stationary fault characteristics of ultra-supercritical units of one million kilowatts. Background technique [0002] In recent years, in order to achieve the sustainable development of electric power, the thermal power industry has actively carried out structural adjustments, replacing high-energy small thermal power units with large-capacity, high-parameter, low-energy supercritical and ultra-supercritical units, basically forming an ultra-supercritical The power energy structure with the unit as the main body. The thermal system of a million-kilowatt ultra-supercritical unit is an extremely complex industrial process, with a large scale, a large number of equipment, and many parameters that affect each other. The site has the characteristics of high temperature, high pressure, and high noise. [000...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q10/0639G06Q50/06
Inventor 赵春晖胡赟昀
Owner ZHEJIANG UNIV
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