Work

Optimization of aero-engine condition monitoring by autoregressive model analysis based on wireless communication

Year: 2024

Type: article

Abstract: The high value of aero-engines makes it necessary to extend their life in terms of econ-omy of use. Health management is an important basis for this work. Background: The vibration signal is an important representation of the working state of an aero-engine. The current usual method is based on wired communication with simple waveform presentation. The many incon-veniences of this method have seriously affected the further development of this work. Methods: This research team acquires engine vibration signals in real time through a designed wireless signal sensor, and then analyzes and visualizes the signals in depth. Results: Through this method, it can visually and effectively demonstrate signal characteristics for engineers, effectively identify fault signals, and monitor engine operating conditions in real time. Conclusions: The method enables the optimization of aero-engine work-state monitoring.

Source: Measurement and Control

DOI: 10.1177/00202940241275316

Authors: Mai Xin, Zhifeng Ye, Xing Liu, Xiong Pan

Institutions: Nanjing University of Aeronautics and Astronautics, Commercial Aircraft Corporation of China (China)

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,000