A system and method for fault diagnosis of power plant equipment based on artificial intelligence
A technology of equipment failure and artificial intelligence, applied in the testing of machines/structural components, instruments, measuring devices, etc., can solve problems such as equipment errors and misdiagnosis, and achieve the effects of improving accuracy, increasing flexibility, and saving manpower and material resources
Active Publication Date: 2022-02-01
南京佰思智能科技有限公司
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Problems solved by technology
However, in the prior art, it often happens that the faulty equipment is mistaken and a misdiagnosis occurs.
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[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0032] see figure 1, the present invention provides a technical solution: A fault diagnosis system for power plant equipment based on artificial intelligence, the fault diagnosis system includes a fault database, a feature extraction module, a feature comparison module, a target equipment selection module and an information transmission module, the fault database It is used to store the characteristics of each equipment in the power plant when a fault occurs, ...
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The invention discloses a power plant equipment fault diagnosis system and method based on artificial intelligence. The fault diagnosis system includes a fault database, a feature extraction module, a feature comparison module, a target equipment selection module and an information transmission module. The fault database is used to store power plant equipment. The features of each device when a fault occurs, the feature extraction module is used to extract the current fault feature when a fault is detected, and the feature comparison module compares the similarity between the current fault feature and the features of each device in the fault database when the fault occurs, if If there is only one device in the fault database whose similarity with the current fault feature is greater than or equal to the similarity threshold, then the device is the target device; otherwise, let the target device selection module select from the power generation The target equipment is selected from each equipment in the factory, and the information transmission module is used to transmit the alarm information of the failure of the target equipment.
Description
technical field [0001] The invention relates to the technical field of power plant equipment, in particular to an artificial intelligence-based power plant equipment fault diagnosis system and method. Background technique [0002] A power plant, also known as a power station, is a factory that converts various primary energy stored in nature into electrical energy. Power plants have a variety of power generation methods: those that rely on thermal power are called thermal power plants, those that rely on hydropower are called hydropower plants, and some power plants that rely on solar, wind and tidal power, etc. Faults will inevitably occur. When a power plant fails, it will cause a shortage of power supply and affect the normal operation of society. Because, in the event of a breakdown in a power plant, it is important to be able to quickly locate the failed device. However, in the prior art, it often occurs that the faulty equipment is mistaken and a misdiagnosis occurs....
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IPC IPC(8): G01M99/00G06K9/62
CPCG01M99/005G06F18/22
Inventor 殷召生方骏吴智平伍英伟赵英宏张强
Owner 南京佰思智能科技有限公司