Browsing by Author "LIN, KL"

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A PARAMETRIC TRANSFER-MATRIX APPROACH TO FAULT-IDENTIFICATION FILTER DESIGN AND THRESHOLD SELECTION
(1995-04-01)
CHANG, SK
;
HSU, PL
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LIN, KL
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電子工程學系及電子研究所
;
電控工程研究所
By employing st transfer matrix approach we develop straightforward design procedures to construct a fault-identification filter (FIDF) to achieve failure detection and isolation. Furthermore, we derive the necessary and sufficient conditions for the synthesis of the FIDF. The condition entails a parametrization of the set of all achievable diagonal fault/residual maps and the set of all existing FIDFs. Since the diagnostic performance of the FIDF is influenced significantly by the model uncertainty, we present a framework for analysing the FIDF by incorporating modelling errors. Consequently, a criterion to determine an adequate threshold for the FIDF based on robust control theory is derived. Examples are used to illustrate the validity of this approach.
DIAGNOSIS OF MULTIPLE SENSOR AND ACTUATOR FAILURES IN AUTOMOTIVE ENGINES
(1995-11-01)
HSU, PL
;
LIN, KL
;
SHEN, LC
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交大名義發表
;
電控工程研究所
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 this paper, we 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.