A Real-Time Microprocessor-Based System for Engine Deficiency Analysis

Sood, Arun K.; Fahs, Ali Amin; Henein, Naeim A.

doi:10.1109/tie.1983.356728

Cited by 13 publications

(2 citation statements)

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“…Fourier transform of x(õ ) obtained easily and reliably, and this kind of signal may be widely utilized for engine monitoring, diagnosis and á ( õ ) crankshaft angular acceleration control [1][2][3][4]. á (n) max peak value of angular acceleration of nth The detection of engine mis re by instantaneous angucylinder lar velocity measurement can be performed in two ways.…”

Section: I(n)mentioning

confidence: 99%

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The on-line detection of engine misfire at low speed using multiple feature fusion with fuzzy pattern recognition

Liu

Ball

2002

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper proposes a technique for the on-line detection of incipient engine mis re based on multiple feature fusion and fuzzy pattern recognition. The technique requires the measurement of instantaneous angular velocity signals. By processing the engine dynamics model equation in the angular frequency domain, four dimensionless features for mis re detection are de ned, along with fast feature-extracting algorithms. By directly analysing the waveforms of the angular velocity and the angular acceleration, six other dimensionless features are extracted. Via fuzzy pattern recognition, all the features are associated together as a fuzzy vector. This vector identi es whether the engine is healthy or faulty and then locates the position of a mis ring cylinder or cylinders if necessary. The experimental work conducted on a production engine operating at low speeds con rms that such a technique is able to work with the redundant and complementary information of all the features and that it leads to improved diagnostic reliability. It is fully expected that this technique will be simple to implement and will provide a useful practical tool for the on-line monitoring and real-time diagnosis of engine mis re in individual cylinders.

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Section: I(n)mentioning

confidence: 99%

“…Fourier transform of x(õ ) obtained easily and reliably, and this kind of signal may be widely utilized for engine monitoring, diagnosis and á ( õ ) crankshaft angular acceleration control [1][2][3][4]. Euclidean distance degree of closeness sometimes directly con ict [7,16].…”

mentioning

confidence: 99%