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Design of Training Data Based Quadratic Detectors with Application to Mechanical Systems

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Title: Design of Training Data Based Quadratic Detectors with Application to Mechanical Systems
Author: Rizzoni, Giorgio; Sayeed, Akbar M.; Jones, Douglas L.
Type: Conference Paper
Keywords: signal to noise ratio; quadratic detection; vibration signals
Citation: G. Rizzoni, A. M. Sayeed and D. L. Jones,"Design of Training Data Based Quadratic Detectors with Application to Mechanical Systems," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
Abstract: Reliable detection of engine knock is an important issue in the design and maintenance of high performance internal combustion engines. Cost considerations dictate the use of vibration signals, measured at the engine block, for knock detection. Conventional techniques use the energy in a bandpass filtered version of the vibration signal as a measure. However, the low signal-to-noise ratio (SNR) in the vibration measurements significantly degrades the performance of such bandpass energy detectors. In this paper, we explore the design and application of more general quadratic detection procedures, including time-frequency methods, to this challenging problem. We use statistics estimated from labeled training data to design the detectors. Application of our techniques to real data shows that such detectors, by virtue of their flexible structure, improve the effective SNR, thereby substantially improving the detection performance relative to conventional methods.
Date Published: 1996-01-20

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  • ECE Publications [1047 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.