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Equipment health assessment method, assessment system and equipment health prediction method

A technology for health assessment and health prediction, applied in measurement devices, data processing applications, instruments, etc., can solve the problem of low accuracy of assessment and prediction, and achieve the effect of improving accuracy

Active Publication Date: 2020-09-08
HUBEI BOHUA AUTOMATION +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides an equipment health assessment method, an assessment system and a equipment health prediction method, which are used to solve the technical problem that the accuracy of the assessment and prediction is not high due to the lack of consideration of the influence of temperature in the existing equipment health assessment and prediction methods

Method used

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  • Equipment health assessment method, assessment system and equipment health prediction method
  • Equipment health assessment method, assessment system and equipment health prediction method
  • Equipment health assessment method, assessment system and equipment health prediction method

Examples

Experimental program
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Effect test

Embodiment 1

[0044] A device health assessment method 100, such as figure 1 shown, including:

[0045] Step 110, synchronously collect vibration data at different vibration collection locations on the device to be evaluated at each vibration collection moment, and synchronously collect temperature data at different temperature collection locations on the device at each temperature collection moment;

[0046] Step 120, perform mean value calculation on all temperature data, and use the calculation result as an evaluation compensation factor;

[0047] Step 130: Based on all the vibration data, use the trained vibration evaluation state model to evaluate and obtain the evaluation state vector composed of the number of data samples in each evaluation state, and obtain the evaluation state vector between the probability densities corresponding to each evaluation state in the evaluation state vector Weighted average, and use the evaluation compensation factor to compensate the weighted average ...

Embodiment 2

[0134] An equipment health assessment system, comprising:

[0135] The data collection and processing module is used to execute step 110 in the equipment health assessment method described in the first embodiment above; the compensation factor calculation module is used to execute the above method based on all temperature data obtained by the data collection and processing module. Step 120 in the equipment health assessment method described in Embodiment 1: the equipment health assessment model is used for evaluating compensation factors based on all the vibration data obtained by the data acquisition and processing module and the compensation factor calculation module, Step 130 in the device health assessment method described in the first embodiment above is executed. The relevant technical solutions are the same as those in Embodiment 1, and will not be repeated here.

[0136] It should be noted that the data acquisition and processing model can clean and dedry the temperat...

Embodiment 3

[0139] A device health prediction method, using the device health evaluation method described in Embodiment 1 above, performs multiple health assessments on the device to be predicted, and performs health prediction on the device to be predicted based on the results of the multiple health assessments. The relevant technical solutions are the same as those in Embodiment 1, and will not be repeated here.

[0140] By adopting the above equipment health assessment method, the accuracy of the results used for health prediction is ensured, thereby improving the accuracy of equipment health prediction.

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Abstract

The invention belongs to the field of equipment health assessment and prediction, and particularly relates to an equipment health assessment method, an assessment system and an equipment health prediction method. The equipment health assessment method comprises the following steps: synchronously acquiring vibration data of different vibration acquisition positions on equipment at each vibration acquisition moment, and synchronously acquiring temperature data of different temperature acquisition positions on the equipment at each temperature acquisition moment; obtaining an evaluation compensation factor based on all the temperature data; based on all the vibration data, adopting a vibration evaluation state model for evaluation to obtain an evaluation state vector, carrying out weighted average on the probability density corresponding to each evaluation state in the evaluation state vector, and adopting an evaluation compensation factor for compensating a weighted average result to complete equipment health evaluation. According to the method, the data are collected from two perspectives of time and space, and the compensation factor is used for the output compensation of the vibration evaluation state model, thereby avoiding a problem that a conventional evaluation method is higher in hysteresis quality for the change of the working temperature of a key execution mechanism ofequipment, and improving the accuracy of equipment health evaluation and prediction.

Description

technical field [0001] The invention belongs to the field of equipment health assessment and prediction, and more particularly relates to an equipment health assessment method, an assessment system and a equipment health prediction method. Background technique [0002] With the rapid development of industrial big data and artificial intelligence technology, industrial production and manufacturing are upgrading towards intelligence. The various production equipment or links that make up the production system are interrelated and affect each other. Once any one of the equipment or links fails, it will lead to system function failure, affect normal production, cause major economic losses to the enterprise, and cause personnel safety accidents in severe cases. , Bring losses to the country and the people. Therefore, from the perspective of safe production and enterprise economic benefits, it is necessary to evaluate and predict the health of equipment by collecting the operatio...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G01D21/02G06N3/00
CPCG06Q10/06393G01D21/02G06N3/006
Inventor 彭刚王凯阮景
Owner HUBEI BOHUA AUTOMATION