2017
DOI: 10.1155/2017/8395252
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Fault Diagnosis Method of Check Valve Based on Multikernel Cost-Sensitive Extreme Learning Machine

Abstract: Check valve is one of the most important components and most easily damaged parts in high pressure diaphragm pump, which is a typical representative of reciprocating machinery. In order to ensure the normal operation of the pump, it is necessary to monitor its running state and diagnose fault. However, in the fault diagnosis of check valve, the classification models with single kernel function can not fully interpret the classification decision function, and meanwhile unreasonable assumption of diagnostic cost… Show more

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Cited by 14 publications
(5 citation statements)
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“…As a result, increasing the frequency of costly classes will increase its weight, which ultimately reflects its importance in the learning process, this technique includes: Over-sampling : includes increasing the number of costly class examples (Pranto et al , 2020; Le et al , 2018; Devi et al , 2021; Zhang et al , 2017). Under sampling: includes reducing the number of less costly class examples (Ma et al , 2017; Tyagi and Mittal, 2020). …”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…As a result, increasing the frequency of costly classes will increase its weight, which ultimately reflects its importance in the learning process, this technique includes: Over-sampling : includes increasing the number of costly class examples (Pranto et al , 2020; Le et al , 2018; Devi et al , 2021; Zhang et al , 2017). Under sampling: includes reducing the number of less costly class examples (Ma et al , 2017; Tyagi and Mittal, 2020). …”
Section: Related Workmentioning
confidence: 99%
“…Under sampling: includes reducing the number of less costly class examples (Ma et al , 2017; Tyagi and Mittal, 2020).…”
Section: Related Workmentioning
confidence: 99%
“…Computational intelligence has been implemented for solving complex prediction, diagnosis, and detection problems in various fields such as mechanical engineering [16][17][18], computer science [19,20], biomedical engineering [21,22], and electrical engineering [23]. As major disciplines of computational intelligence, swarm intelligence and EAs are powerful stochastic optimization techniques that have been implemented for solving various engineering problems in recent years.…”
Section: Introductionmentioning
confidence: 99%
“…In the field of prognostics and health management (PHM) to mechanical equipment, the actual collected vibration signal contains wealthy information about operating status [1][2][3]. It is worthy to note that the faulty characteristic information can always be reflected from the measured signal.…”
Section: Introductionmentioning
confidence: 99%