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Equipment fault diagnosis method and device

A technology of equipment faults and diagnostic methods, which is applied in the direction of measuring devices, instruments, calculations, etc., can solve the problems that no solution has been proposed, that vibration and noise cannot be widely promoted and applied in the field of fault diagnosis, and that the cost of operation and maintenance is high. Achieve low cost, reduce unplanned downtime, and reduce industrial production costs

Pending Publication Date: 2019-06-14
中科云创(厦门)科技有限公司
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Problems solved by technology

[0007] d) Due to the high cost of implementation and operation and maintenance, vibration and noise cannot be widely promoted and applied in the field of fault diagnosis
[0008] Aiming at many problems existing in related technologies, effective solutions have not yet been proposed

Method used

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Embodiment Construction

[0052] 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.

[0053]It should be noted that the terms "first" and "second" in the specification and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific order or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for t...

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Abstract

The invention discloses an equipment fault diagnosis method and device. The method comprises the steps that acquiring noise data and vibration data of the surface of equipment; obtaining a corresponding data curve according to the noise data and the vibration data; judging whether the data curve is consistent with a model base line when the equipment runs normally or not, and if not, generating abnormal information; judging whether the abnormal information is fault information or not; if the abnormal information is fault information, marking the abnormal information as the fault information; and if the model base line is not the fault information, performing machine learning on the model base line and the data curve to obtain a new model base line. A fault diagnosis and prediction solutionbased on a local edge side system and through noise and vibration is constructed; continuous monitoring of equipment faults can be achieved only by detecting equipment noise and vibration data, and therefore accidental shutdown in the industrial production process is further reduced, the product yield is increased, and the industrial production cost is reduced.

Description

technical field [0001] The present application relates to the technical field of automatic equipment fault diagnosis based on machine learning, and in particular, relates to a method and device for equipment fault diagnosis. Background technique [0002] Generally, there will be sound or vibration during the operation of the equipment, and when there is a problem with the operation of the equipment, the sound and vibration will change. By observing these changes, experts can diagnose the location and cause of the abnormality of the equipment, and even predict the upcoming occurrence of the equipment. A malfunction that prevents the device from functioning properly. Due to the high traffic cost of data transmission, and some data (such as noise and vibration) that need to be used for equipment fault diagnosis or prediction usually have a large amount of data, the use of artificial intelligence machine learning is gradually inclined to the edge computing unit. [0003] In the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G01H17/00
Inventor 周北川
Owner 中科云创(厦门)科技有限公司
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