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Electrostatic characteristic parameter-based engine performance degradation early warning method

A characteristic parameter and engine technology, applied in the field of aero-engine condition monitoring, fault diagnosis and system health management, to achieve the effect of easy real-time online monitoring

Pending Publication Date: 2021-07-09
ZHENGZHOU UNIVERSITY OF AERONAUTICS
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition to safety and reliability factors, economy is another problem

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  • Electrostatic characteristic parameter-based engine performance degradation early warning method
  • Electrostatic characteristic parameter-based engine performance degradation early warning method
  • Electrostatic characteristic parameter-based engine performance degradation early warning method

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Embodiment Construction

[0027] Attached below figure 1 and 2 The present invention is described in further detail.

[0028] An early warning method for engine performance degradation based on electrostatic characteristic parameters. Firstly, the change law of electrostatic monitoring characteristic parameters and the joint probability distribution of characteristic parameters are obtained from engine bench experiments, and the characteristic parameters are modeled and analyzed with a state space model. The class analysis method is used to complete the parameter identification and establish a performance degradation behavior characterization model, integrate conventional state monitoring information and electrostatic monitoring information, and combine engine performance indicators to construct an early warning method for engine performance degradation. Obtain electrostatic monitoring data through engine bench experiments, judge the relationship between monitoring data and engine performance, determi...

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Abstract

The invention discloses an engine performance degradation early warning method based on static characteristic parameters. The method comprises the following steps: acquiring a change rule of static monitoring characteristic parameters and characteristic parameter joint probability distribution through an engine pedestal experiment, and modeling and analyzing the characteristic parameters by using a state space model; employing a multi-dimensional data space clustering analysis method for completing parameter identification, establishing a representation model of performance degradation behaviors, integrating conventional state monitoring information and static monitoring information, combining engine performance indexes, and constructing the engine performance degradation early warning method. The method is high in functionality, provides reference for engine performance prediction trend, and can be widely applied to the technical fields of aero-engine state monitoring, fault diagnosis and system health management.

Description

technical field [0001] The present invention relates to the fields of aero-engine state monitoring, fault diagnosis and system health management, specifically a method for early warning of engine performance degradation based on electrostatic characteristic parameters, and more specifically, exploring the failure mechanism of aero-engine air circuit components through an electrostatic sensing method and the mapping relationship between static monitoring signal features. Background technique [0002] The health status of an aero-engine is the decisive factor for the safety and reliability of aircraft operation. However, the current materials, design, production, process and maintenance cannot fully guarantee the reliability, durability and maintainability of the engine in use, and cannot ensure flight safety and reliability. Therefore, it is necessary to make an accurate assessment of the engine's health status based on the engine's condition monitoring system. In addition ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F119/04
CPCG06F30/20G06F2119/04
Inventor 文振华郭霄任淑红方鹏亚李树豪
Owner ZHENGZHOU UNIVERSITY OF AERONAUTICS
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