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

Suda et al., 2020 - Google Patents

Automated diagnosis of engine misfire faults using combination classifiers

Suda et al., 2020

Document ID
11959264106751949987
Author
Suda J
Kagaris D
Publication year
Publication venue
SAE International Journal of Commercial Vehicles

External Links

Snippet

Existing on-board diagnostics vehicle systems can detect the existence of faults, but their diagnostic (fault isolation) capabilities are rather low. Extensions to on-board diagnostics are needed in order to provide a high degree of automated diagnostic support. In this context …
Continue reading at www.sae.org (other versions)

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
    • F02COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02DCONTROLLING COMBUSTION ENGINES
    • F02D41/00Electrical control of supply of combustible mixture or its constituents
    • F02D41/02Circuit arrangements for generating control signals
    • F02D41/14Introducing closed-loop corrections
    • F02D41/1401Introducing closed-loop corrections characterised by the control or regulation method
    • F02D2041/1413Controller structures or design
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
    • F02COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02DCONTROLLING COMBUSTION ENGINES
    • F02D41/00Electrical control of supply of combustible mixture or its constituents
    • F02D41/22Safety or indicating devices for abnormal conditions

Similar Documents

Publication Publication Date Title
EP1705357B1 (en) Method and a relative device for diagnosing misfire or partial combustion conditions in an internal combustion engine
WO2010041382A1 (en) Generation of reference value for vehicle failure diagnosis
Murphey et al. Automotive fault diagnosis-part II: a distributed agent diagnostic system
Vong et al. Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis
US7251990B2 (en) Method and a relative device for diagnosing misfire or partial combustion conditions in an internal combustion engine
Suda et al. Automated diagnosis of engine misfire faults using combination classifiers
Soliman et al. Diagnosis of an automotive emission control system using fuzzy inference
US7136779B2 (en) Method for simplified real-time diagnoses using adaptive modeling
Lu et al. A fuzzy diagnostic model and its application in automotive engineering diagnosis
Lu et al. A fuzzy system for automotive fault diagnosis: Fast rule generation and self-tuning
Martínez-Morales et al. Artificial neural network based on genetic algorithm for emissions prediction of a SI gasoline engine
Frisk Model-based fault diagnosis applied to an SI-Engine
Cranmer et al. Grey-box modeling architectures for rotational dynamic control in automotive engines
Xie et al. Using sensors data and emissions information to diagnose engine’s faults
Smits et al. Excitation signal design and modeling benchmark of nox emissions of a diesel engine
Sangha et al. On-board monitoring and diagnosis for spark ignition engine air path via adaptive neural networks
Jaramillo et al. Vehicle online monitoring system based on fuzzy classifier
Danfeng et al. Application of PNN to fault diagnosis of IC engine
Antory Fault diagnosis application in an automotive diesel engine using auto-associative neural networks
Jung et al. A flexi-pipe model for residual-based engine fault diagnosis to handle incomplete data and class overlapping
Sangha et al. Robustness assessment and adaptive FDI for car engine
Gani et al. Misfire-misfuel classification using support vector machines
Serrano et al. An Efficient Machine Learning Algorithm for Valve Fault Detection
Suda Misfire-Fault Classification for Future On-Board Diagnostics III Vehicles
Sangha et al. Sensor fault diagnosis for automotive engines with real data evaluation