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Equipment health index construction and life prediction method based on data fusion network

A technology of health indicators and integrated networks, applied in electrical testing/monitoring, testing/monitoring control systems, instruments, etc.

Active Publication Date: 2020-06-09
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Although multi-sensor systems have been widely used in health monitoring, how to make full use of multi-sensor signals to better capture the health status and predict the remaining useful life (residual useful lifetime, RUL) is very challenging.

Method used

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  • Equipment health index construction and life prediction method based on data fusion network
  • Equipment health index construction and life prediction method based on data fusion network
  • Equipment health index construction and life prediction method based on data fusion network

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Embodiment Construction

[0067] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0068] The invention provides a method for constructing equipment health index and online prediction of remaining life based on Bayesian inference and neural network. The collected sensor signals are fused nonlinearly through the neural network to obtain a comprehensive health status characterization, and based on this health index, the Bayesian inference method is used to predict the remaining service life of the machine. figure 1 Schematic flow chart of the model method provided by the present invention.

[0069] The method of the invention mainly includes two stages, constructing the health index by using the collected sensor data signals of the equipment; and predicting the remaining service life of the machine equipment by using the constructed health index. The present invention specifically c...

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Abstract

The invention discloses an equipment health index construction and life prediction method based on a data fusion network, and the method comprises the steps: additionally installing a plurality of sensors for detecting the working state of a machine on the machine, and constructing a machine equipment health index model through employing collected sensor data signals; and predicting the remainingservice life of the machine equipment by utilizing the constructed machine equipment health index model. With application of the method, on one hand, specific representation and visualization of riskquantification information of the degradation process of the machine equipment can be provided, and the equipment health condition prediction accuracy is improved.

Description

technical field [0001] The present invention relates to an online prediction technology for the remaining service life of production equipment, and specifically relates to a Bayesian inference and shape-restricted neural data fusion network technology to fuse multi-source sensor signals of the equipment to construct health indicators, so as to A model approach for online prediction of engine remaining life. Background technique [0002] Essentially, when using machines, tools, equipment or systems for production, degradation processes are often unavoidable and irreversible. Unplanned failures of machines due to degradation can lead to serious consequences such as unexpected stoppages in the production process, safety hazards, financial losses and delivery delays, etc. Therefore, it is crucial to monitor the health status and predict the remaining useful life. To prevent unexpected failures and ensure the reliability of the system / process, there are generally two types of pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0283
Inventor 李珍吴建国
Owner PEKING UNIV
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