• DocumentCode
    995520
  • Title

    Diagnosis of multiple sensor and actuator failures in automotive engines

  • Author

    Hsu, Pau-Lo ; Lin, Ken-Li ; Shen, Li-Cheng

  • Author_Institution
    Inst. of Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    44
  • Issue
    4
  • fYear
    1995
  • fDate
    11/1/1995 12:00:00 AM
  • Firstpage
    779
  • Lastpage
    789
  • Abstract
    Unlike cases where only a single failure occurs, fault detection and isolation of multiple sensor and actuator failures for engines are difficult to achieve because of the interactive effects of the failed components. If faults all appear either in sensors only or in actuators only, many existing residual generators which provide decoupled residual signals can be employed directly to obtain proper fault detection and isolation. However, when both sensor and actuator failures occur at the same time, their mutual effects on residuals make fault isolation particularly difficult. Under such circumstances, further decision logic is required. In the paper, the authors propose a hexadecimal decision table to relate all possible failure patterns to the residual code. The residual code is obtained through simple threshold testing of the residuals, which are the output of a general scheme of residual generators. The proposed diagnostic system incorporating the hexadecimal decision table has been successfully applied to automotive engine sensors and actuators in both simulation and experimental analyses. Enhancement of the present diagnostic performance by implementing an additional sensor is also described
  • Keywords
    actuators; automotive electronics; decision tables; failure analysis; fault diagnosis; internal combustion engines; sensors; automotive engines; decision logic; diagnostic performance; failure patterns; fault detection; fault isolation; hexadecimal decision table; interactive effects; multiple actuator failure; multiple sensor failures; residual code; residual generators; threshold testing; Actuators; Analytical models; Automotive engineering; Engines; Fault detection; Logic; Sensor phenomena and characterization; Sensor systems; Signal generators; Testing;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/25.467962
  • Filename
    467962