Machine pump health knowledge base searching method based on Bayesian reasoning

A knowledge base and Bayesian network technology, applied in the field of intelligent control, can solve the problems of a large amount of manpower, low accuracy, and no prediction function, etc., to reduce maintenance costs, prevent over-fitting, and prolong the operating life of pumps Effect

Pending Publication Date: 2019-07-12
HANGZHOU ZETA TECH
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Problems solved by technology

However, such monitoring technology requires a lot of manpower for professional da

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  • Machine pump health knowledge base searching method based on Bayesian reasoning
  • Machine pump health knowledge base searching method based on Bayesian reasoning
  • Machine pump health knowledge base searching method based on Bayesian reasoning

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[0043] In order to make the purpose, technical solution and advantages of the present invention more clear, further detailed description will be made in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0044] First of all, it needs to be explained that the implementation of the present invention will involve signal detection technology, which is the application of computer technology in the field of industrial production. In the specific application process of the present invention, the application of software function modules may be involved. The applicant believes that, after carefully reading the application documents and accurately understanding the realization principle and purpose of the present invention, combined with existing known technologies, those skilled in the art can fully implement the present invention by us...

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Abstract

The invention relates to a machine pump monitoring and fault diagnosis technology, and aims to provide a machine pump health knowledge base searching method based on Bayesian reasoning. The method comprises the following steps: taking machine pump key components, specific fault information and vibration signal characteristics in a machine pump health knowledge base as priori knowledge; establishing Bayesian network search model learning, calculating the score of the Bayesian network by utilizing a scoring function to establish a new database, and inferring the fault probability of the node according to the real-time state of the vibration signal characteristics obtained in the operation process of the machine pump by utilizing the obtained Bayesian network. According to the method, a penalty item can be effectively adjusted during training of some data, excessive fitting is prevented, the topological structure of the Bayesian network can be effectively determined, and the conditional probability density of each node of the Bayesian network model is obtained through priori knowledge, so that the Ankang state and the fault type in the operation process of the pump are obtained. The safety degree and fault diagnosis in the operation process of the pump are analyzed and diagnosed, and safe and efficient operation of the pump is achieved.

Description

technical field [0001] The invention relates to machine pump monitoring and fault diagnosis technology, in particular to a Bayesian reasoning-based search method for a machine pump health knowledge base, which belongs to the field of intelligent control. Background technique [0002] Fans, water pumps, compressors, steam turbines and other mechanical and pump equipment are the key production equipment of modern enterprises such as petroleum, chemical industry, metallurgy, steel and electric power. With the development of intelligence, this type of equipment continues to develop towards high speed, heavy duty, high efficiency and intelligence. At the same time, higher requirements are put forward for the condition monitoring and fault diagnosis system of the equipment. The running status of the pump directly affects the production efficiency of the enterprise, and even causes safety problems in the event of a serious failure. Therefore, the health monitoring of pump equipmen...

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Application Information

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IPC IPC(8): G06F16/36G06K9/62
CPCG06F16/367G06F18/29
Inventor 柴秋子徐华锋李创付立许丹丹
Owner HANGZHOU ZETA TECH
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