2011
DOI: 10.1007/s10836-011-5220-0
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Fault Detection, Diagnosis and Prediction in Electrical Valves Using Self-Organizing Maps

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Cited by 33 publications
(10 citation statements)
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“…The first stage extracts features (FS) from vibration signals acquired with accelerometer sensor. Feature extraction is performed by Wavelet Packet Energy (WPE) described in [25], as this is an effective method for the extraction of weak fault signatures from vibration signals confirmed by the works of [26] and [22] which already achieved satisfactory results for the first stage of the observed case study. The second stage is responsible to generate the "health" indicator for the gears, represented by a metric called confidence value (CV), ranging from zero (damaged) to 1 (healty).…”
Section: Requirement Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…The first stage extracts features (FS) from vibration signals acquired with accelerometer sensor. Feature extraction is performed by Wavelet Packet Energy (WPE) described in [25], as this is an effective method for the extraction of weak fault signatures from vibration signals confirmed by the works of [26] and [22] which already achieved satisfactory results for the first stage of the observed case study. The second stage is responsible to generate the "health" indicator for the gears, represented by a metric called confidence value (CV), ranging from zero (damaged) to 1 (healty).…”
Section: Requirement Analysismentioning
confidence: 99%
“…Therefore, using the data acquired from real machines or a laboratory test bench is the predominant strategy. Few works, as from [9] and [10] have used simulators to generate training/test datasets. However, references in literature about the applications of a simulated dataset in prognostics algorithms evaluation have not been found.…”
Section: A Intelligent Maintenance Systemmentioning
confidence: 99%
“…6 A sketch-out of a Gas/Oil pipeline is similar to other applications of AIS in IMS, as the work cited in Sect. 3 and other applications of IMS [6,7,31].…”
Section: Service Agentsmentioning
confidence: 99%
“…Research group main expertise is embedded diagnose systems, as proposed by Gonçalves et al in [6] and Piccoli et al in [7].…”
Section: Introductionmentioning
confidence: 99%
“…Wavelet Packet Energy (WPE) with Mother-wavelet Daubechies 6 and 4 level decomposition are used to generate the PS [19] [20]. The data set available is composed by 150 cycles of operation, witch 50 operations representing normal behaviour, 50 representing Fault 1 and 50 Fault 2.…”
Section: Case Studymentioning
confidence: 99%