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Automated health state classifier for rotating machines based on expert knowledge

A technology of rotating machines and machines, applied in the field of computer implementation, can solve the problems of not being able to indicate the specific type of fault, not being very accurate, etc.

Pending Publication Date: 2021-10-26
SIEMENS AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of these methods are not very accurate, and they do not indicate the specific type of failure

Method used

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  • Automated health state classifier for rotating machines based on expert knowledge
  • Automated health state classifier for rotating machines based on expert knowledge
  • Automated health state classifier for rotating machines based on expert knowledge

Examples

Experimental program
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Embodiment Construction

[0059] exist figure 1 In , an embodiment of a computer-implemented method of indicating machine failure according to the first aspect is schematically depicted. The computer-implemented method comprises the steps receiving 1 , transforming 2 and predicting 3 and optionally the step of initiating 8 . The computer-implemented method also includes the steps of storing 9 and deriving 10 .

[0060] First, an input signal 4 including a temperature signal T, a vibration signal f, a rotational speed signal v, and a torque signal F is received 1 in a step of receiving 1 . The input signal 4 is generated by a corresponding sensor of the rotary machine monitoring a motor of the rotary machine.

[0061] In the step of transformation 2 , the input signal 4 is transformed 2 into features 5 . Some of the input signals are transformed into spectra 5.1, ie the vibration signal f is transformed into a spectrum in the frequency domain. The rotational velocity signal v is transformed into a v...

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PUM

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Abstract

The present invention relates to a computer-implemented method of, a data processing system for and a computer program product for indicating machine failures as well as to a corresponding machine and a computer-implemented method of training a neural network for indicating machine failures. At least one input signal based on at least one physical quantity of at least one machine part is transformed into at least one feature. A neural network predicts a class and / or a severity of at least one machine failure based on the at least one feature.

Description

technical field [0001] The present invention relates to a computer-implemented method, data processing system and computer program product for indicating machine failures, and also to a corresponding machine and a computer-implemented method for training a neural network for indicating machine failures. Background technique [0002] Machine failures, especially rotating machine failures caused by misalignment or imbalance of rotating parts, such as in bearings, often lead to unscheduled downtime for maintenance or rather repair work. In order to detect possible machine failures before serious machine failures occur, experts periodically inspect (rotating) machine components (e.g. motors) by measuring physical quantities (e.g. vibrations, rotational speeds, torques, etc.) , drive shaft, etc.) status or function. [0003] Certain values ​​for evaluating the state / function of the respective component (eg envelope spectrum, harmonic peaks, sidebands, etc.) are derived from the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M5/00G01H1/00G01M13/028G01M13/045G01M15/12G05B23/02
CPCG01M5/0066G01M13/045G01M13/028G01M15/12G05B23/024G01H1/003G06N3/045
Inventor 托比亚斯·贝克尔乔纳斯·戴希曼欧根·格拉斯亨宁·奥克森费尔德托尔斯滕·赖曼于尔根·策特纳
Owner SIEMENS AG