Multi-Sensor Condition-Monitoring Dataset of a Brushed DC Servo Motor 核心 · 已核验

doi:10.17632/g28trvywnx

Disclaimer: missing files described and explained in section 8 of the readme file. Raw multi-sensor recordings from a brushed permanent-magnet DC servo motor (3PI12.12) driven by a 4-quadrant thyristor (SCR) converter. Each sensor data was recorded separately under the same operating conditions — matched load level and mechanical condition — using four sensors: armature current, an AV-160B vibrometer probe, a budget Android phone microphone, and vibrometer spot readings. Hypothesis. The dataset is built to test whether ordinary smartphone audio can replace invasive or specialised diagnostic equipment (current probes, contact vibrometers) for motor condition monitoring. With the phone recorded at ~1 m under the same conditions as the instrument-grade references, researchers can compare models trained on phone audio against those trained on current and vibrometer signals — i.e. whether a phone alone can estimate load and tell apart normal operation, direction reversal, and a loose foundation. Published as recorded (raw, untransformed). It also suits load estimation, foundation-looseness detection, direction-reversal analysis, and converter/commutation signature studies. The readme file gives ML pipeline suggestions only as guidance.

落地页

https://data.mendeley.com/datasets/g28trvywnx/3

许可证

CC-BY-4.0 (判读置信:verified_official)

国内可访问性

国内直连:可达 (2026-07-11 检测) 代理通道:可达 (2026-07-11 检测)
检测口径:lychee 双通道单轮探测;「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。

设备类型

power_electronics_device dc_motor

PHM 任务

condition_monitoring fault_detection

故障工况

传感器

运行工况