Hi-DEC: Hierarchical dual-expert code prediction for whole-vehicle fault prognosis in intelligent connected vehicles
Authors:
- Fanghua ChenFCFanghua Chen
- Deguang ShangDSDeguang Shang
- Weizuo GuoWGWeizuo Guo
- Ke YeKYKe Ye
- 21 October 2026
- journal article
- Published by Elsevier in Reliability Engineering & System Safety
- Vol. 278
Abstract
No abstract availableFunding Information
- Natural Science Foundation of Beijing Municipality
This publication has 40 references indexed in Scilit:
- A Case Study on the DTC Prediction of Commercial Vehicles Using Machine Learning ApproachInternational Journal of Automotive Technology, 2025
- A Dynamic Warning Method for Electric Vehicle Charging Safety Based on CNN-BiGRU Hybrid ModelInternational Journal of Control, Automation, and Systems, 2024
- Battery fault diagnosis and failure prognosis for electric vehicles using spatio-temporal transformer networksApplied Energy, 2023
- A heterogeneous fault diagnosis approach to enhance performance of connected vehiclesInternational Journal of Communication Systems, 2022
- Remaining useful life prediction of bearings by a new reinforced memory GRU networkAdvanced Engineering Informatics, 2022
- Detection of voltage fault in the battery system of electric vehicles using statistical analysisApplied Energy, 2022
- A Novel Fault Detection, Identification and Prediction Approach for Autonomous Vehicle Controllers Using SVMAutomotive Innovation, 2021
- Research progress, challenges and prospects of fault diagnosis on battery system of electric vehiclesApplied Energy, 2020
- Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather stationSoft Computing, 2020
- Fault and defect diagnosis of battery for electric vehicles based on big data analysis methodsApplied Energy, 2017