Power generation equipment parameter warning method based on DBN network

A technology for power generation equipment and parameters, applied in neural learning methods, biological neural network models, predictions, etc., can solve problems such as inaccurate predictions of time series models, achieve the effects of improving availability, ensuring accuracy, and solving false alarms

Active Publication Date: 2018-01-23
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a DBN network-based power generation equipment parameter early warning method, which builds and trains the DBN network model by collecting historical data and current data of multiple operating parameters of the e

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  • Power generation equipment parameter warning method based on DBN network
  • Power generation equipment parameter warning method based on DBN network
  • Power generation equipment parameter warning method based on DBN network

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[0036] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0037] In order to achieve the above object, the present invention adopts the following technical solutions:

[0038] The method for early warning of power generation equipment parameters of the DBN network proposed by the present invention comprises the following steps:

[0039] Step S1, obtaining the operating parameters of the power generation equipment;

[0040] Step S2, establishing a DBN net...

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Abstract

The invention belongs to the field of power generation equipment online monitoring and fault diagnosis, and discloses a power generation equipment parameter warning method based on a DBN network. Thewarning method includes the following steps: (a) acquiring operation parameter data of power generation equipment; (b) building a DBN network model of cross fitting between the operation parameters ofthe equipment; (c) training the DBN network model; (d) using the trained DBN network model to acquire the predicted values of target parameters in real time; and (e) comparing the actual values of the operation parameters of the equipment with the predicted values in real time, and giving a warning for the parameters. Based on the basic idea that the current operation parameters of the equipmentreflect the state of the equipment, a cross fitting model between the parameters is built using the correlation between the parameters of the equipment, and the model is incrementally trained througha small-batch training method. Through the method, the problem that the time series model is inaccurate under variable-load conditions is solved, and meanwhile, the influence of equipment maintenanceand natural deterioration on the accuracy of the model is avoided, and the safe and economic operation ability of the equipment is improved.

Description

technical field [0001] The invention belongs to the field of on-line monitoring and fault diagnosis of power generation equipment, and more specifically relates to a parameter early warning method for power generation equipment based on a DBN network. Background technique [0002] With the continuous deepening of my country's electric power reform and the rapid development of inter-regional interconnected power grids, the safe and reliable operation of power generation equipment has become a key issue of concern for major power generation companies. It can be said that the safe and reliable operation of power generation equipment is directly related to the survival of enterprises, and the traditional equipment failure post-processing mode can no longer meet the safety of power generation in the new form, not only cannot guarantee the reliability of power generation equipment operation, but also virtually increases maintenance costs. Therefore, the budding intelligent fault e...

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Application Information

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IPC IPC(8): G06N3/08G06Q10/04G06Q50/06
CPCY04S10/50
Inventor 杨涛胡迪陈刚高伟张琛何佳豪齐江永杨嘉巍
Owner HUAZHONG UNIV OF SCI & TECH
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