دورية أكاديمية
Triaxial bearing vibration dataset of induction motor under varying load conditions.
| العنوان: | Triaxial bearing vibration dataset of induction motor under varying load conditions. |
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| المؤلفون: | Kumar D; NCRA Condition Monitoring Systems Lab, Mehran University of Engineering and Technology, Jamshoro, Pakistan., Mehran S; NCRA Condition Monitoring Systems Lab, Mehran University of Engineering and Technology, Jamshoro, Pakistan., Shaikh MZ; NCRA Condition Monitoring Systems Lab, Mehran University of Engineering and Technology, Jamshoro, Pakistan., Hussain M; NCRA Condition Monitoring Systems Lab, Mehran University of Engineering and Technology, Jamshoro, Pakistan., Chowdhry BS; NCRA Condition Monitoring Systems Lab, Mehran University of Engineering and Technology, Jamshoro, Pakistan., Hussain T; NCRA Condition Monitoring Systems Lab, Mehran University of Engineering and Technology, Jamshoro, Pakistan. |
| المصدر: | Data in brief [Data Brief] 2022 May 23; Vol. 42, pp. 108315. Date of Electronic Publication: 2022 May 23 (Print Publication: 2022). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101654995 Publication Model: eCollection Cited Medium: Internet ISSN: 2352-3409 (Electronic) Linking ISSN: 23523409 NLM ISO Abbreviation: Data Brief Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: [Amsterdam] : Elsevier B.V., [2014]- |
| مستخلص: | Rotating machines as core component of an industry can effectively be monitored through vibration analysis. Considering the importance of vibration in industrial condition monitoring, this article reports and discusses triaxial vibration data for motor bearing faults detection and identification. The data is acquired using a MEMS based triaxial accelerometer and the National Instruments myRIO board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under three different load conditions. The dataset can be used to assess performance of newly developed methods for effective bearing fault diagnosis. Mendeley Data. http://dx.doi.org/10.17632/fm6xzxnf36.2. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2022 The Author(s).) |
| فهرسة مساهمة: | Keywords: Bearing; Condition Monitoring; Fault diagnosis; Induction motor; Triaxial Vibration |
| تواريخ الأحداث: | Date Created: 20220606 Latest Revision: 20220606 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC9156863 |
| DOI: | 10.1016/j.dib.2022.108315 |
| PMID: | 35664656 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2352-3409 |
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| DOI: | 10.1016/j.dib.2022.108315 |