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

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)en_US
dc.contributor.authorRizzoni, Giorgioen_US
dc.contributor.authorSayeed, Akbar M.en_US
dc.contributor.authorJones, Douglas L.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:01:43Zen_US
dc.date.available2007-10-31T01:01:43Zen_US
dc.date.issued1996-01-20en_US
dc.date.modified2004-01-22en_US
dc.date.note2004-01-09en_US
dc.date.submitted1996-01-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractReliable 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.en_US
dc.identifier.citationG. Rizzoni, A. M. Sayeed and D. L. Jones, "Design of Training Data Based Quadratic Detectors with Application to Mechanical Systems," 1996.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.1996.544208en_US
dc.identifier.urihttps://hdl.handle.net/1911/20280en_US
dc.language.isoengen_US
dc.subjectsignal to noise ratioen_US
dc.subjectquadratic detectionen_US
dc.subjectvibration signalsen_US
dc.subject.keywordsignal to noise ratioen_US
dc.subject.keywordquadratic detectionen_US
dc.subject.keywordvibration signalsen_US
dc.subject.otherTime Frequency and Spectral Analysisen_US
dc.titleDesign of Training Data Based Quadratic Detectors with Application to Mechanical Systemsen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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