A Multi-Sensor Data Fusion Fault Diagnosis Method for Rail Vehicle Transmission System
نویسندگان
چکیده
منابع مشابه
A New Engine Fault Diagnosis Method Based on Multi-Sensor Data Fusion
Fault diagnosis is an important research direction in modern industry. In this paper, a new fault diagnosis method based on multi-sensor data fusion is proposed, in which the Dempster–Shafer (D–S) evidence theory is employed to model the uncertainty. Firstly, Gaussian types of fault models and test models are established by observations of sensors. After the models are determined, the intersect...
متن کاملA Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes
Studies on fault detection and diagnosis of planetary gearboxes are quite limited compared with those of fixed-axis gearboxes. Different from fixed-axis gearboxes, planetary gearboxes exhibit unique behaviors, which invalidate fault diagnosis methods that work well for fixed-axis gearboxes. It is a fact that for systems as complex as planetary gearboxes, multiple sensors mounted on different lo...
متن کاملA Multi-Sensor Data Fusion Method for Navigation
A data fusion method based on navigation observations from multiple sensors with asynchronous sampling rates is presented aiming at the accomplishment of an optimal navigation result. Firstly, the observation estimations of navigation sensors at the same designated time are obtained through the fitting or interpolation algorithms based on the multi-sensors’ measurements at different times, whic...
متن کاملFault Diagnosis Based on Multi-sensor Data Fusion for Numerical Control Machine
Fault diagnosis for numerical control machine is more difficult than that for other mechanical equipments due to its structural complexity and the coupling feature among different faults. In order to improve the accuracy and reliability of fault diagnosis for numerical control machine, an intelligent fault diagnosis model is studied. Besides the traditional method that multiple sensors are moun...
متن کاملAn Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
A fault diagnosis approach based on multi-sensor data fusion is a promising tool to deal with complicated damage detection problems of mechanical systems. Nevertheless, this approach suffers from two challenges, which are (1) the feature extraction from various types of sensory data and (2) the selection of a suitable fusion level. It is usually difficult to choose an optimal feature or fusion ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1930/1/012006