Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump

Sakthivel, N. R.; Sugumaran, V.; Nair, Binoy B.

doi:10.1016/j.ymssp.2010.01.008

Cited by 74 publications

(23 citation statements)

References 22 publications

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“…Classification was based on statistical features of a vibration signal, such as mean, standard deviation and kurtosis, as well as a few other measurable quantities, such as flow rate, discharge pressure and temperature. Empirical evidence shows moderate results of classification of the multiple faults, (Azadeh, Ebrahimipour, & Bavar, 2010;Sakthivel, Sugumaran, & Nair, 2010). The difficulty associated with using fuzzy logic systems is the complexity in the creation of the fuzzy rules, which are usually done by hand, and their limits.…”

Section: State Of the Art In Cavitation Detectionmentioning

confidence: 99%

A vibration cavitation sensitivity parameter based on spectral and statistical methods

McKee

Forbes

Mazhar

et al. 2015

Expert Systems with Applications

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Cavitation is one of the main problems reducing the longevity of centrifugal pumps in industry today. If the pump operation is unable to maintain operating conditions around the best efficiency point, it can be subject to conditions that may lead to vaporisation or flashing in the pipes upstream of the pump. The implosion of these vapour bubbles in the impeller or volute causes damaging effects to the pump. A new method of vibration cavitation detection is proposed in this paper, based on adaptive octave band analysis, principal component analysis and statistical metrics. Full scale industrial pump efficiency testing data was used to determine the initial cavitation parameters for the analysis. The method was then tested using vibration measured from a number of industry pumps used in the water industry. Results were compared to knowledge known about the state of the pump, and the classification of the pump according to ISO 10816.

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Section: State Of the Art In Cavitation Detectionmentioning

confidence: 99%

A vibration cavitation sensitivity parameter based on spectral and statistical methods

McKee

Forbes

Mazhar

et al. 2015

Expert Systems with Applications

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“…Furthermore, inference methods as decision making by fuzzy logic (FUZ) are utilized [24,25]. To define the rules, rough set theory can be used as in [26] and [10]. Those use a lower and an upper approximation for the boundaries of a cluster based on probabilities and show several similarities to other methods like fuzzy sets or Bayesian inference [27].…”

Section: Classificationmentioning

confidence: 99%

“…Investigations with a centrifugal pump show that cavitation, impeller damage, and unbalance can be detected. The focus of [26] is set on the comparison of Fuzzy classifiers. Those use statistical features extracted from vibration signals.…”

Section: Signal-based Approachesmentioning

confidence: 99%

Fault Diagnosis and State Detection in Centrifugal Pumps—A Review of Applications

Beckerle

Schaede

Rinderknecht

2015

Proceedings of the 9th IFToMM International Conference on Rotor Dynamics

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This paper reviews methods and applications of fault diagnosis and state detection in centrifugal pumps. Different studies show the most common faults and their effects: Failures of mechanical seals, roller bearings, and drives as well as leakage are prevalent. Since these might lead to a stand-still of pumps, automatic fault diagnosis can improve productivity. Fault definitions, methods of fault diagnosis and state detection functionalities in centrifugal pumps as well as their categorization regarding utilized models are presented. Reviewing applications of such in centrifugal pumps shows solutions from model-free fault detection to modelbased fault diagnosis. In those, impeller faults, cavitation and blockade/sedimentation receive the highest attention, while computation and sensor effort increases with method/model complexity. Two major research issues are the diagnosis of multiple fault cases and methods integrating a continuous monitoring and identification if a fault occurs.

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“…Wang H. and Chen P. successfully monitored multiple faults of rotating machinery in real time by taking the statistical parameters of the signal, such as mean, standard deviation, kurtosis, skewness, etc., as fault characteristics and using Fuzzy Neural Network (FNN) as a classifier [1]. Sakthivel N. R. and Sugumaran V. compared the two classification methods of decision tree and rough set, and verified by experiment on centrifugal pump [2]. Wavelet Decomposition is used to extract the vibration signal of centrifugal pump, and Support Vector Machine is used as classifier for on-line fault diagnosis in [3].…”

Section: Introductionmentioning

confidence: 99%

Centrifugal pump fault detection based on SWT and SVM

Chen¹,

Li²

2018

Vib. proced.

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Centrifugal pumps, like other rotating equipment, produce vibration signals during operation. Vibration signals often contain pump state information. Therefore, we can obtain pump state information by using appropriate signal processing methods. Synchrosqueezing wavelet transform (SWT) is a new time-frequency analysis technology. It is an algorithm for rebuilding time-frequency signals, which is similar to the empirical mode decomposition method. It can improve the time-frequency resolution of the signal compared with wavelet transform. In this paper, the SWT is used to analyze the vibration signal of centrifugal pump and extract characteristics. The data shows that the SWT can effectively extract the information of signal in time domain and frequency domain. Then we use the Support Vector Machine (SVM) to classify the features and realize the fault diagnosis of centrifugal pump. The result proves that the fault diagnosis method based on the SWT and SVM.

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Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump

Cited by 74 publications

References 22 publications

A vibration cavitation sensitivity parameter based on spectral and statistical methods

A vibration cavitation sensitivity parameter based on spectral and statistical methods

Fault Diagnosis and State Detection in Centrifugal Pumps—A Review of Applications

Centrifugal pump fault detection based on SWT and SVM

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