Rolling element bearings diagnostics using the Symbolic Aggregate approXimation

Georgoulas, George; Karvelis, Petros; Λούτας, Θεόδωρος; Stylios, Chrysostomos

doi:10.1016/j.ymssp.2015.01.033

Cited by 57 publications

(28 citation statements)

References 27 publications

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“…Then the fault feature vector is taken as the input of KNN to identify early fault of rotating machinery. Georgoulas et al [150] transformed the raw signal into a discrete component, which was represented by a histogram form summarizing the occurrence of the chosen symbols. The histogram was taken as the input of KNN for fault location and severity identification of rolling bearing.…”

Section: Knnmentioning

confidence: 99%

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

Wei

et al. 2019

Entropy

175

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Rotating machinery is widely applied in various types of industrial applications. As a promising field for reliability of modern industrial systems, early fault diagnosis (EFD) techniques have attracted increasing attention from both academia and industry. EFD is critical to provide appropriate information for taking necessary maintenance actions and thereby prevent severe failures and reduce financial losses. A massive amounts of research work has been conducted in last two decades to develop EFD techniques. This paper reviews and summarizes the research works on EFD of gears, rotors, and bearings. The main purpose of this paper is to serve as a guidemap for researchers in the field of early fault diagnosis. After a brief introduction of early fault diagnosis techniques, the applications of EFD of rotating machine are reviewed in two aspects: fault frequency-based methods and artificial intelligence-based methods. Finally, a summary and some new research prospects are discussed.

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Section: Knnmentioning

confidence: 99%

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

Wei

et al. 2019

Entropy

175

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“… and 1 T  ), an analytic expression for the calculation of generalized PAA can be written in a summation form as follows [40]:…”

Section: B Piecewise Aggregate Approximation (Paa)mentioning

confidence: 99%

A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors

Karvelis

Georgoulas

Tsoumas

et al. 2015

IEEE Trans. Ind. Inf.

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“…SAX techniques led to many practical applications ranging from engineering [5], [6], [9] to medicine [4].…”

Section: Formulation Of the Problemmentioning

confidence: 99%

“…In such situations, the Central Limit Theorem implies that the resulting distribution should be close to Gaussian; see, e.g., [12]. An indeed, in many practical situations, the empirical distribution is close to Gaussian, with appropriate mean µ and standard deviation σ; see, e.g., [4], [5], [6], [9].…”

Section: How To Optimize Threshold Selection: Case When Measuremementioning

confidence: 99%

Symbolic Aggregate approXimation (SAX) under interval uncertainty

Stylios

Kreinovich

2015

2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Held Jointly With 2015 5th World Con

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Abstract-In many practical situations, we monitor a system by continuously measuring the corresponding quantities, to make sure that an abnormal deviation is detected as early as possible. Often, we do not have ready algorithms to detect abnormality, so we need to use machine learning techniques. For these techniques to be efficient, we first need to compress the data. One of the most successful methods of data compression is the technique of Symbolic Aggregate approXimation (SAX). While this technique is motivated by measurement uncertainty, it does not explicitly take this uncertainty into account. In this paper, we show that we can further improve upon this techniques if we explicitly take measurement uncertainty into account.

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Rolling element bearings diagnostics using the Symbolic Aggregate approXimation

Cited by 57 publications

References 27 publications

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors

Symbolic Aggregate approXimation (SAX) under interval uncertainty

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