fault detection and isolation of vehicle driveline system

Authors

m. shahab

m. moavenian ferdowsi university

abstract

vehicle driveline system and its working accuracy play an important role in the performance of car. the purpose of this study is to provide an appropriate mechanism for investigating, identifying and determining the position and size of defects in the vehicle power transmission system. this is based on the patterns of the residual signal, obtained from a simulated model of the system. neuro-fuzzy networks have been used in diagnosis of defects because of its specific advantages and capabilities in pattern recognition. simulation results demonstrate that the resulting fault detection system is able to properly locate the fault types under all test conditions, and is sensitive also to fault size. test and simulation results using matlab software is given at the end.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Fault Detection and Isolation of Vehicle Driveline System

Vehicle driveline system and its working accuracy play an important role in the performance of car. The purpose of this study is to provide an appropriate mechanism for investigating, identifying and determining the position and size of defects in the vehicle power transmission system. This is based on the patterns of the residual signal, obtained from a simulated model of the system. Neuro-...

full text

Yaw Rate Control and Actuator Fault Detection and Isolation for a Four Wheel Independent Drive Electric Vehicle

In this paper, a new actuator fault detection and isolation method for a four wheel independent drive electric vehicle is proposed. Also, a controller based on sliding mode control method is proposed for lateral stability of the vehicle. The proposed control method is designed in three high, medium and low levels. At the high-level, the vehicle desired dynamics such as longitudinal speed refere...

full text

Fault Detection and Isolation

In this work, spectral signal analyses are employed in fault detection and isolation scheme. The procedure was applied to detect the presence of fault in proces and suppose the processing in frequency domain of the data acquisition, which represent the known commands and the actual measure outcome. The approach has been applied to electrical motor and the results show that the fault detection s...

full text

Optimizing Vehicle NVH Characteristics for Driveline Integration

The automotive marketplace has seen a steady increase in customer demands for quiet and more comfortable vehicles. A customer’s expectations for NVH refinement often contradicts the constraints for lightweight vehicle designs and the need for a powertrain with increased fuel efficiency. The driveline of a vehicle can be a substantial cause of NVH issues. Variants in the driveline architecture (...

full text

A Fault Detection and Isolation System for Cooperative Manipulators

The problem of fault detection and isolation (FDI) in cooperative manipulators is addressed in this paper. Four FDI procedures are developed to deal with free-swinging joint faults, locked joint faults, incorrectly measured joint position, and incorrectly measured joint velocity. Free-swinging and locked joint faults are isolated via neural networks. For each arm, a Multilayer Perceptron (MLP) ...

full text

Driveline torque observer for heavy duty vehicle

In addition to fuel consumption and efficiency the expectations in driving comfort of heavy duty vehicles were substantially increased in the last years. The driveline has an essential role in drivability performance of the vehicle. Since it determines the driving efficiency as well, simple, but robust devices were quite widespread in production, but these can usually make driving more difficul...

full text

My Resources

Save resource for easier access later


Journal title:
international journal of automotive engineering

جلد ۲، شماره ۲، صفحات ۸۴-۹۴

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023