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Mechanical equipment health state assessment method based on multi-dimensional early warning analysis

A technology of health status and mechanical equipment, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of inaccurate assessment of equipment health status and single early warning methods, achieve accurate operation and maintenance decisions, and improve the accuracy of evaluation. degree of effect

Active Publication Date: 2019-06-25
西安因联信息科技有限公司
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Problems solved by technology

[0004] Aiming at the problem of single early warning mode and inaccurate evaluation of equipment health status in the prior art, the present invention proposes a method for evaluating the health status of mechanical equipment based on multi-dimensional early warning analysis, which is realized by the following technical scheme, including the following steps:

Method used

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  • Mechanical equipment health state assessment method based on multi-dimensional early warning analysis
  • Mechanical equipment health state assessment method based on multi-dimensional early warning analysis
  • Mechanical equipment health state assessment method based on multi-dimensional early warning analysis

Examples

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Embodiment

[0093] To evaluate the health status of a certain mechanical equipment, first collect the peak acceleration and envelope peak values ​​of the mechanical equipment as state characteristics, such as Figure 7 and Figure 8 As shown, the data collection time is from September 13, 2016 to September 27, 2016, and the duration is 2 weeks.

[0094] Among them, the change ratio of the acceleration peak value to the failure response sensitivity of mechanical equipment is 67.4%, which is higher than 50%, and belongs to the key index group; the change ratio of the envelope peak value to the failure response sensitivity of mechanical equipment is 48%, which is greater than 10% and lower than 50% belong to the non-critical indicator group.

[0095] The collected acceleration peak value and envelope peak value are input into the multi-dimensional early warning analysis model, such as Figure 9 Shown is the linear regression result of the peak acceleration of the device within one week, th...

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Abstract

The invention belongs to the field of mechanical equipment state monitoring, and particularly relates to a mechanical equipment health state assessment method based on multi-dimensional early warninganalysis, which comprises the following steps: step 1, acquiring different types of state characteristics of multiple mechanical equipment, and classifying the state characteristics according to the reaction degree of the state characteristics on equipment faults; step 2, processing the state features collected in the step 1 to obtain a multi-dimensional early warning analysis result; and step 3,establishing an equipment health state level model by combining the classified state features obtained in the step 1, and inputting a multi-dimensional early warning result into the equipment health state level model to obtain the health state level of each mechanical equipment. The application of the early warning technology can comprehensively detect the early abnormal state of the equipment, and is helpful for the industrial field to understand the operation condition of the monitored equipment to a greater extent.

Description

technical field [0001] The invention belongs to the field of mechanical equipment state monitoring, and in particular relates to a method for evaluating the health state of mechanical equipment based on multidimensional early warning analysis. Background technique [0002] The normal operation of mechanical equipment plays a vital role in the long-term safe and efficient production of the factory. The safe operation of equipment can effectively guarantee the safety of on-site operators, improve production efficiency, and effectively avoid the loss of equipment assets. Therefore, status monitoring and early warning of equipment play a very critical role. Through equipment status monitoring and fault diagnosis, equipment problems can be detected early to avoid accidental downtime of mechanical equipment, thereby reducing downtime losses and ensuring the safety of personnel. [0003] The traditional means of equipment monitoring and early warning is: collecting equipment vibrat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 田秦胡翔吕芳洲夏立印
Owner 西安因联信息科技有限公司
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