Operational Digital Twin Dataset for a 3.7 kW Water Motor 核心 · 已核验

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"This dataset contains time-series telemetry collected from a 3.7 kW (5 HP) three-phase induction motor-driven centrifugal water pump deployed in the IIIT Hyderabad campus water distribution system. The data were acquired as part of an operational Digital Twin framework designed for monitoring, anomaly detection, and predictive maintenance in resource-constrained environments. Sensor measurements include motor temperature, ambient temperature, three-axis vibration (accelerometer), and electrical current, recorded at regular sampling intervals using an ESP32-based IoT sensing device. The dataset spans several months of real-world operation and captures normal operating conditions, start\u2013stop cycles, and transient behaviours of the pump system. These measurements enable research in industrial IoT, digital twins, predictive maintenance, anomaly detection, and machine learning for rotating machinery. The dataset can support benchmarking of fault detection algorithms, time-series modelling, and digital twin validation for small-scale water pumping systems."

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落地页

https://ieee-dataport.org/documents/operational-digital-twin-dataset-37-kw-water-motor

国内可访问性

国内直连:可达 (2026-07-11 检测) 非直连:可达 (2026-07-11 检测)
「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。

发布年份

2026

发布方

IEEE DataPort

设备类型

induction_motor pump

PHM 任务

condition_monitoring

传感器