Stator current measurements as a condition monitoring technology &amp;#x2014; The-state-of-the-art

Corne, Bram; Debruyne, Colin; Baets, Patrick De; Desmet, Jan

doi:10.1109/icelmach.2014.6960405

Cited by 14 publications

(12 citation statements)

References 40 publications

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“…). These specific faultindicators and their unique signatures in terms of frequency are extensively discussed in [10] and can be summarized for outer race, inner race, ball and bearing cage faults, respectively as [4], [8]- [10], [12], [21]- [26]:…”

Section: Methodsmentioning

confidence: 99%

“…From thereon, accessing the fault-emulating userinterface, the pit-length of the single point bearing fault is discretely increased while the stator current's time-data is acquired continuously. The time-domain is transformed to the frequency-domain based on the discrete Fourier transform with increased accuracy in magnitude and frequency, of which the algorithm is discussed in [10], based on [15]. The analysis of the frequency-data is executed by an automatic algorithm which searches for time-varying spectral components.…”

Section: Methodsmentioning

confidence: 99%

“…This periodicity, t o , is related to the speed by which the bearing balls are passing the pit. This period determines the fundamental period of the faulty force-functions and is as well the frequency that can be found in the stator current's spectrum (modulated on the fundamental current component, [2]- [4], [10]). As the outer race pit can be located at every angular position (defined by α pit ), the 2DOF-system gets always excited in the two directions x and y (except for α pit = − π 2 ; 0; π Therefore, the faulty force-function is subdivided in a vertical and horizontal force-component, respectively f y (t) and f x (t).…”

Section: A Outer Race Bearing Faultmentioning

confidence: 99%

“…Reasonably, as the increase of the machine's reliability can only be a consequence of implementing reliable technologies. Due to the need of validation on an academic level (technical proof-of-concept), many authors have been searching extensively on methodologies which can implement quantified bearing-related faults in electric rotating machinery with focus on both reproducibility and industrial relevance, [1]- [10]. The widely accepted and applied method is replacing one of the bearings of the machine under test by a bearing suffering from an artificially implemented fault (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…The widely accepted and applied method is replacing one of the bearings of the machine under test by a bearing suffering from an artificially implemented fault (e.g. emulating single point bearing pitting by drilling holes through the outer race, [3]- [10]). That method satisfies the need of proving the feasibility of some technologies, but is inadequate to perform detailed, reproducible research on e.g.…”

Section: Introductionmentioning

confidence: 99%

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Single point outer race bearing fault severity estimation using stator current measurements

Corne

Vervisch

Derammelaere

et al. 2017

2017 IEEE International Electric Machines and Drives Conference (IEMDC)

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Abstract-Although numerous valuable research has been conducted by many authors, the relation between evolving mechanical faults and their fault-indicating reflections in the electrical signals of rotating electric machinery still requires extensive attention. This lack of information implies serious obstructions in the evolution of applying motor current signature analysis as a complete and reliable condition monitoring technology. However, as previous research of the authors resulted in the construction of a unique test-bench where specific mechanical faults can be introduced into an 11kW induction machine with high reproducibility and accuracy, the relations between evolving mechanical faults and their reflections in the stator current can be investigated and quantified experimentally. Using this mechanical fault-emulator, experiments where conducted where the severity of a single point outer race bearing fault and its corresponding signature in the stator current's spectral fault-components are accurately analyzed. These evolving faulty components are trended and characterized, resulting in the desired quantification of the mechanical fault-severity. Based on these results, it is possible to inversely estimate the severity of single point outer race bearing problems by acquiring nothing more then the stator current timefunctions.

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