scholarly journals Model-Based Fault Diagnosis of an Automated Manual Transmission Shifting Actuator

2015 ◽  
Vol 48 (21) ◽  
pp. 1479-1484 ◽  
Author(s):  
Qi Chen ◽  
Qadeer Ahmed ◽  
Giorgio Rizzoni ◽  
Erik Frisk ◽  
Hua Zhai
Keyword(s):  
Fault Diagnosis ◽  
Manual Transmission ◽  
Model Based ◽  
Automated Manual Transmission

Study on Automated Manual Transmission Fault Diagnosis and Tolerant Control

2014 ◽  
Vol 697 ◽  
pp. 344-349
Author(s):  
Jian Bo Yin ◽  
Qi Chen ◽  
Yun Bo Ma ◽  
Yv Cai Zhao
Keyword(s):  
Mathematical Model ◽  
Fault Diagnosis ◽  
Manual Transmission ◽  
Sensors And Actuators ◽  
Information Redundancy ◽  
Matlab Simulink ◽  
Diagnosis Method ◽  
Automated Manual Transmission ◽  
Simulation Results ◽  
Engine Clutch

This paper discuss the possible fault about AMT. By using the information redundancy between those parts, the faults of sensors and actuators can be found. In addition, the corresponding tolerant is put forward. Based on the fault diagnosis method, Matlab/Simulink mathematical model of engine, clutch and transmission is built. The simulation results show that the model can satisfy the requirement of fault diagnosis, and has certain tolerances.

scholarly journals Design and Evaluation of Model-Based Health Monitoring Scheme for Automated Manual Transmission

2016 ◽  
Vol 138 (10) ◽  
Author(s):  
Qi Chen ◽  
Qadeer Ahmed ◽  
Giorgio Rizzoni ◽  
Mingming Qiu
Keyword(s):  
Health Monitoring ◽  
Critical Role ◽  
Fault Model ◽  
Manual Transmission ◽  
Functional Safety ◽  
Sensor Faults ◽  
Model Based ◽  
Detection And Identification ◽  
Fault Detection And Identification ◽  
Automated Manual Transmission

Health monitoring of automated manual transmission (AMT) in modern vehicles can play a critical role to avoid its malfunctions and ensure vehicle functional safety. In order to meet this demand, this paper presents a model-based fault detection and identification (FDI) scheme for AMT. After developing the fault model of AMT, structural analysis (SA)-based fault detectability and isolability is realized with the available set of sensors, prior to design and development of residuals. The residuals are generated by employing the theory of SA, where the concepts of analytical redundant relationship (ARR) are utilized to make residuals stable and robust. Finally, the proposed FDI scheme is successfully evaluated to detect and isolate the sensor faults in EcoCAR2 AMT.

On-Board Model Based Fault Diagnosis for CubeSat Attitude Control Subsystem: Flight Data Results

2021 ◽  
Author(s):  
Ryan Mackey ◽  
Allen Nikora ◽  
Cornelia Altenbuchner ◽  
Robert Bocchino ◽  
Michael Sievers ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Attitude Control ◽  
Flight Data ◽  
Control Subsystem ◽  
Model Based

Probabilistic Model-Based Fault Diagnosis of the Rotor System

2007 ◽  
Author(s):  
Jiye Shao ◽  
Rixin Wang ◽  
Jingbo Gao ◽  
Minqiang Xu
Keyword(s):  
Fault Diagnosis ◽  
Bayesian Network ◽  
Network Model ◽  
Rotating Machinery ◽  
Rotor System ◽  
Bayesian Network Model ◽  
Diagnosis System ◽  
Model Based ◽  
Core Components ◽  
Fault Diagnosis System

The rotor is one of the most core components of the rotating machinery and its working states directly influence the working states of the whole rotating machinery. There exists much uncertainty in the field of fault diagnosis in the rotor system. This paper analyses the familiar faults of the rotor system and the corresponding faulty symptoms, then establishes the rotor’s Bayesian network model based on above information. A fault diagnosis system based on the Bayesian network model is developed. Using this model, the conditional probability of the fault happening is computed when the observation of the rotor is presented. Thus, the fault reason can be determined by these probabilities. The diagnosis system developed is used to diagnose the actual three faults of the rotor of the rotating machinery and the results prove the efficiency of the method proposed.

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