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A method and device for abnormality prediction of a driving system

A drive system, abnormal technology, applied in the direction of motor generator testing, measuring electricity, measuring devices, etc.

Active Publication Date: 2020-08-18
上海大制科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] One purpose of this application is to provide a method and device for abnormality prediction of the drive system, which solves the problems in the prior art that additional sensors need to be added when diagnosing the abnormality of the drive system and that it is impossible to predict the possible abnormality of the drive system

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  • A method and device for abnormality prediction of a driving system
  • A method and device for abnormality prediction of a driving system
  • A method and device for abnormality prediction of a driving system

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Embodiment Construction

[0048] The application will be described in further detail below in conjunction with the accompanying drawings.

[0049] In a typical configuration of this application, the terminal, the device serving the network, and the trusted party all include one or more processors (such as a central processing unit (Central Processing Unit, CPU)), an input / output interface, a network interface, and a memory .

[0050] Memory may include non-permanent memory in computer-readable media, random access memory (Random Access Memory, RAM) and / or non-volatile memory, such as read-only memory (Read Only Memory, ROM) or flash memory (flash RAM). Memory is an example of computer readable media.

[0051] Computer readable media are used to implement information storage. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (Phase-ChangeRAM, PRAM), static ra...

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Abstract

The invention aims at providing a method and device for anomaly prediction of a driving system. The method comprises the steps of obtaining current response parameters and historical state parametersof the driving system; determining corresponding first characteristics and second characteristics according to the current response parameters and the historical state parameters; establishing a statedistribution graph of the driving system according to the first characteristics and the second characteristics; determining an area where anomaly risks occur according to the state distribution graph, quantifying the area of the anomaly risks, and predicting anomaly information of the driving system according to the quantifying result. By means of the method and device for anomaly prediction of the driving system, an anomaly which possibly occurs to the driving system in the future can be predicted, and meanwhile, during prediction, an extra sensor does not need to be additionally arranged.

Description

technical field [0001] The present application relates to the field of mechanical equipment data analysis, and in particular to a method and device for abnormality prediction of a drive system. Background technique [0002] In the production and manufacture of conveying equipment (such as automobiles), various motor drive systems are widely used in production money, and whether the drive system works normally has a great impact on the reliable production of the production line. Therefore, the abnormal diagnosis and prediction of the drive system is particularly important. [0003] Some existing technologies that add additional sensors, such as vibration and temperature sensors, can realize abnormality diagnosis function to a certain extent, but the cost of installing sensors, the space limitation on site and the hidden dangers that may be brought about by later transformation lead to the addition of new sensors. hardware and cannot predict future trends. In the actual prod...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/34
CPCG01R31/343
Inventor 黄毅郭云徐骏何琪
Owner 上海大制科技有限公司