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Fault discrimination method and device

A fault discrimination and frequency spectrum technology, applied in the field of data processing, can solve problems such as relying on manual judgment, and achieve the effects of avoiding the influence of subjective factors, saving labor costs, and realizing intelligent processing

Pending Publication Date: 2021-03-05
BEIJING GRIDSUM TECH CO LTD
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Problems solved by technology

[0004] The embodiment of the present invention provides a fault discrimination method and device to solve the problem of relying on manual judgment in the process of fault judgment of oil field dynamic equipment in the prior art

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  • Fault discrimination method and device

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Embodiment Construction

[0041] 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 some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0042] It should be understood that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic related to the embodiment is included in at least one embodiment of the present invention. Thus, appearances of "in one embodiment" or "in an embodiment" in various places throughout the specification are not necessarily referring to the same embodiment. Furthermore, the particu...

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Abstract

The embodiment of the invention provides a fault discrimination method and device. The method comprises the following steps: acquiring a vibration signal frequency spectrum of target moving equipment;extracting a characteristic value in the vibration signal frequency spectrum according to a preset signal processing rule, wherein the characteristic value is the amplitude of a preset characteristicfrequency in the vibration signal frequency spectrum; inputting the characteristic value into a preset fault discrimination model to obtain a fault discrimination result of the target dynamic equipment, wherein the fault discrimination model is obtained by performing machine learning on sample data. According to the embodiment of the invention, the problem that in the prior art, the oil field dynamic equipment fault judgment process depends on manual judgment is solved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a fault discrimination method and device. Background technique [0002] In the production activities of oilfields, oilfield dynamic equipment plays a more important role. Oilfield moving equipment usually refers to the rotating equipment driven by the driving machine. If a failure occurs during the working process of the moving equipment, it usually needs to interrupt the production activities of the oilfield, and it takes a long time to troubleshoot, which greatly affects the production activities of the oilfield. conduct. Therefore, fault detection of moving equipment is particularly important in the production process of oil fields. [0003] At present, the fault diagnosis process of most oilfield mobile equipment is usually based on manual judgment of the operation of the equipment; however, manual judgment is greatly affected by the experience of the judgme...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N20/10G01M13/00G01H1/16G01H1/14
CPCG06N20/10G01M13/00G01H1/14G01H1/16G06N3/045G06F18/24G06F18/214
Inventor 李金诺
Owner BEIJING GRIDSUM TECH CO LTD
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