{
  "fetched_at": "2026-10-19T11:25:45Z",
  "source_url": "https://www.kaggle.com/competitions/electric-motor-temperature/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "name": "data-description",
      "content": "<h2>Data Set Details:</h2>\nA comprehensive csv files containing all measurement sessions and features. Each row represents one snapshot of sensor data at a certain time step. Sample rate is 2 Hz (One row per 0.5 seconds). Distinctive sessions are identified with \"profile_id\".\n\n\n<h2><strong>Feature set:</strong></h2>\n\n<strong>ambient</strong>\n<p>Ambient temperature as measured by a thermal sensor located closely to the stator.</p>\n<strong>coolant</strong>\n<p>Coolant temperature. The motor is water cooled. Measurement is taken at outflow.</p>\n<strong>u_d</strong>\n<p>Voltage d-component</p>\n<strong>u_q</strong>\n<p>Voltage q-component</strong>\n<strong>motor_speed</strong>\n<p>Motor speed</p>\n<strong>torque</strong>\n<p>Torque induced by current.</p>\n<strong>i_d</strong>\n<p>Current d-component</p>\n<strong>i_q</strong>\n<p>Current q-component</p>\n<strong>pm</strong>\n<p>Permanent Magnet surface temperature representing the rotor temperature. This was measured with an infrared\nthermography unit.</p>\n<strong>stator_yoke</strong>\n<p>Stator yoke temperature measured with a thermal sensor.</p>\n<strong>stator_tooth</strong>\n<p>Stator tooth temperature measured with a thermal sensor.</p>\n<strong>stator_winding</strong>\n<p>Stator winding temperature measured with a thermal sensor.</p>\n<strong>profile_id</strong>\n<p>Each measurement session has a unique ID. Make sure not to try to estimate from one session onto the other as they are strongly independent.</p>",
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    {
      "name": "Description",
      "content": "<h2> Business Objective</h2>\n<p>Predict Motor Speed & temperature based on other attributes available</p>\n\n<p>The dataset comprises several sensor data collected from a permanent magnet synchronous motor (PMSM) deployed on a test bench. The PMSM represents a german OEM's prototype model. Test bench measurements were collected by the LEA department at Paderborn University. This dataset is mildly anonymized.</p>\n<p>All recordings are sampled at 2 Hz. The dataset consists of multiple measurement sessions, which can be distinguished from each other by column \"profile_id\". A measurement session can be between one and six hours long.\nThe motor is excited by hand-designed driving cycles denoting a reference motor speed and a reference torque. Currents in d/q-coordinates (columns \"i_d\" and i_q\") and voltages in d/q-coordinates (columns \"u_d\" and \"u_q\") are a result of a standard control strategy trying to follow the reference speed and torque. Columns \"motor_speed\" and \"torque\" are the resulting quantities achieved by that strategy, derived from set currents and voltages.</p>\n<p>Most driving cycles denote random walks in the speed-torque-plane in order to imitate real world driving cycles to a more accurate degree than constant excitations and ramp-ups and -downs would.</p>",
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    {
      "name": "Evaluation",
      "content": "<h2>Evaluation Metric </h2>\n<p>For this competition evaluation metric chosen is RMSE (Root Mean Square Error )</p>\n",
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