Jun 25, 2021 · In this paper, a fault diagnosis method is proposed based on multi-sensor fusion information for a single fault and composite fault of train ...
Jun 25, 2021 · In this paper, a fault diagnosis method is proposed based on multi-sensor fusion information for a single fault and composite fault of train ...
A fault diagnosis method based on multi-sensor fusion information for a single fault and composite fault of train braking systems and the results show that ...
This method involves the design of a data-driven model using multiple sensors and the application of a DT-improved particle filter fault diagnosis algorithm, ...
In this paper, a fault diagnosis method is proposed based on multi-sensor fusion information for a single fault and composite fault of train braking systems ...
In this paper, we propose a data-based analytical redundancy method to detect and isolate sensor faults of the electro-pneumatic brake in the dynamic process of ...
In this research, we propose a novel feature engineering framework for the fault diagnosis of freight train air brakes.
In the field of fault diagnosis, this method can deal with uncertain and imprecise information by using fuzzy theory, and has a high self-study capability based ...
Feb 15, 2023 · A braking friction fault diagnosis method based on one-dimensional convolutional neural network (1DCNN) and GraphSAGE network is proposed to solve the problem ...
The fault diagnosis model proposed in this paper can identify the common fault types of brake system, and has high model train efficiency and excellent ...