2026-10-16T04:53:07Z https://data.mendeley.com/oai

oai:data.mendeley.com/g2kzkwnkgw.1 2026-02-10T02:01:27Z

Wang, Xiaoyu A multi-condition acoustic dataset of ball bearings for fault diagnosis-outer race pitting Mendeley Data This dataset provides multi-condition, long-duration acoustic data for ball bearings. The data were acquired from bearings with normal bearing faults, systematically and separately for each combination of three rotational speeds (800, 1000, and 1200 r/min) and three load levels (0%, 15%, and 30% of the rated torque, where 100% corresponds to 6 N·m). Acoustic signals were recorded synchronously using three microphones: two B&K Type 4966 and one CRY333. The sensitivities were 49.76 mV/Pa (B&K at Position 2), 46.95 mV/Pa (B&K at Position 3), and 23.98 mV/Pa (CRY333at Position 1), respectively. The detailed microphone placement is described in our associated dataset article to be published in Data in Brief. For each of the nine operational conditions, a continuous 50-minute recording was captured at a sampling rate of 32,768 Hz. For data management, each 50-minute recording is segmented into five sequential 10-minute files (labeled 1-5) within the repository. The raw data are provided in the proprietary .bkc format. Files are organized and named according to a hierarchical directory structure based on fault type, speed, load, and sampling rate. This dataset supports analytical tasks such as feature extraction and pattern recognition. It serves as a benchmark for developing and validating fault diagnosis algorithms for rotating machinery, particularly for evaluating model performance under varying operating conditions. Ball Bearing Acoustic Monitoring Fault Diagnosis Xu, Cuifeng Huang, Jing Lu, Yuanning Su, Haitao Lu, Jiaqi Dataset doi:10.17632/g2kzkwnkgw.1 oai:data.mendeley.com/g2kzkwnkgw.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/g2kzkwnkgw 2026-02-10T02:01:27Z