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Cited by 12 publications
(4 citation statements)
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References 19 publications
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“…In combustion, a large number of academics have done a great deal of research on nonstationary signals using EMD. Yadav et al [ 19 ] Used the method of combining EMD and hidden Markov model (HMM) to analyze the sound pressure signal of an internal combustion engine, they found that this method can realize the condition monitoring and fault diagnosis of the internal combustion engine after classifying the acoustic signals of the internal combustion engine with HMM when taking IMF as the feature vector. Lu et al [ 20 ] used the IMF that was obtained by EMD decomposition of the pressure signal in the homogeneous charge compression ignition (HCCI) combustor to construct the feature vector to identify the feature parameters in the change of normal combustion and detonation combustion state.…”
Section: Introductionmentioning
confidence: 99%
“…Statistical Control Charts (SCCs) provide a framework for monitoring the distribution of the features and detection if they are inconsistent with the past healthy state and any change in the distribution characteristics of the features will indicate damage, termed outlier analysis. SCCs are one of the earliest statistical fault detection techniques dating back to 1931 (Yadav and Kalra, 2010). Starting with the advent of Shewhart control charts for averaging, usually called X-bar ( X ) chart, which is normally used in combination with a range chart (R chart) or standard deviation chart (S chart) (Shiroishi et al, 1997).…”
Section: Introductionmentioning
confidence: 99%
“…Starting with the advent of Shewhart control charts for averaging, usually called X-bar ( X ) chart, which is normally used in combination with a range chart (R chart) or standard deviation chart (S chart) (Shiroishi et al, 1997). Further modification to Shewhart charts have resulted in Cumulative Sum (CUSUM) and the Exponentially Weighted Moving Average (EWMA) charts in the early 1950 s (Yadav and Kalra, 2010). Because these charts are easy to construct, implement and interpret, they received a large acceptance in the field of machines and processes monitoring.…”
Section: Introductionmentioning
confidence: 99%
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