Nothing Special   »   [go: up one dir, main page]

Namburu et al., 2006 - Google Patents

Systematic data-driven approach to real-time fault detection and diagnosis in automotive engines

Namburu et al., 2006

Document ID
6491798758943253631
Author
Namburu S
Wilcutts M
Chigusa S
Qiao L
Choi K
Pattipati K
Publication year
Publication venue
2006 IEEE Autotestcon

External Links

Snippet

The competitive businesses' desire to provide" smart services" and the pace at which the modern automobiles are increasing in complexity, are motivating the development of automated intelligent vehicle health management systems. Current On-Board Diagnosis …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/02—Testing of gearing or of transmission mechanisms
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808—Diagnosing performance data

Similar Documents

Publication Publication Date Title
DE102016208048B4 (en) AUTOMOBILES, DIAGNOSTIC SYSTEMS AND METHODS FOR GENERATION OF DIAGNOSTIC DATA FOR AUTOMOBILES
US6240343B1 (en) Apparatus and method for diagnosing an engine using computer based models in combination with a neural network
Murphey et al. Automotive fault diagnosis-part II: a distributed agent diagnostic system
DE102014210504A1 (en) Reference value generating device for a vehicle
Guo et al. Automotive signal diagnostics using wavelets and machine learning
Namburu et al. Systematic data-driven approach to real-time fault detection and diagnosis in automotive engines
DE102004023450B4 (en) System and method for diagnosing sensors of an engine control system
Marko et al. Automotive control system diagnostics using neural nets for rapid pattern classification of large data sets
DE19959526A1 (en) Method for recognizing faults in a motor vehicle
Zheng et al. An end-to-end CNN-BiLSTM attention model for gearbox fault diagnosis
CN114742157B (en) Vehicle health state determining method, device, equipment and storage medium
DE102018201933A1 (en) Method and system for analyzing at least one device of a unit which has a plurality of different devices
Simani Residual generator fuzzy identification for automotive diesel engine fault diagnosis.
CN106401757A (en) Cylinder shutting down mode implementing method and system of engine, and vehicle
CN114856811A (en) Diesel engine air system health assessment method
Nowakowski et al. Diagnostics of the drive shaft bearing based on vibrations in the high-frequency range as a part of the vehicle's self-diagnostic system
CN106706314A (en) Automobile automatic transmission fault diagnosis tester based on virtual instrument and automobile automatic transmission fault diagnosis method based on virtual instrument
Namburu et al. Application of an effective data-driven approach to real-time time fault diagnosis in automotive engines
Soliman et al. Diagnosis of an automotive emission control system using fuzzy inference
Neupane et al. A temporal anomaly detection system for vehicles utilizing functional working groups and sensor channels
CN206488924U (en) Automatic gearbox failure diagnostic apparatus based on virtual instrument
Betta et al. ANN-based sensor fault accommodation techniques
EP0506832A1 (en) Method and device for storing intermittent functional faults of a physical system and of context variables of these faults.
CN111325257A (en) Method and device for analyzing vehicle faults
Xie et al. Using sensors data and emissions information to diagnose engine’s faults