Method, device and system for predicting fan fault

A fan and fault technology, applied in the field of fan fault prediction, can solve the problem that fault prediction cannot continue, and achieve the effect of improving feasibility and accuracy

Inactive Publication Date: 2020-01-31
西安察柏科技咨询有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present application provides a method, device, and system for predicting fan failures, in order to solve the problem of fan safety operation solution

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  • Method, device and system for predicting fan fault
  • Method, device and system for predicting fan fault
  • Method, device and system for predicting fan fault

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Embodiment Construction

[0033] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0034] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such...

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Abstract

The invention discloses a method, device and system for predicting a fan fault. The method comprises the following steps that sensing data of each component of a fan is acquired through data acquisition sensors mounted on the components of the fan and then transmitted to a data processing platform from a fan field through a wireless network as well as isolation equipment; the sensing data forms time series working data in a preprocessing process through the data processing platform; a well-trained recurrent neural network model is used for extracting implicit feature information in the time series working data, and then future time series prediction data of the fan is predicted to be acquired; and a working state of the fan is judged through the time series prediction data, and early warning is carried out. According to the method, device and system for predicting the fan fault, the technical problems that in the prior art on a safety operation solution of the fan, fault prediction cannot be continuously carried out due to the fact that detecting and alarming is carried out only after the fault occurs or an artificial diagnosis mode is used for predicting the fan fault can be solved.

Description

technical field [0001] The present application relates to the field of wind turbine failure prediction, in particular, to a method, device and system for predicting wind turbine failure. Background technique [0002] Early fault diagnosis for safe operation of wind turbines, that is, early warning of faults in wind turbines before they actually occur, is a difficult point in wind turbine operation and maintenance technology, and it is also blank. Generally, the fan is complex, the number of analog quantities to be detected is large, and there are many types of faults. The huge amount of data makes the traditional modeling based on physical principles and statistical modeling methods unable to effectively give early warning of faults. [0003] Most of the existing wind turbine safety operation solutions are based on fault detection. Whether it is a data acquisition and monitoring control system (Supervisory Control And Data Acquisition, SCADA), blade health monitoring syste...

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Application Information

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IPC IPC(8): F03D17/00F03D7/00
CPCF03D7/00F03D17/00F05B2270/709Y02E10/72
Inventor 史俊慧张绵才张英郭斐
Owner 西安察柏科技咨询有限公司
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