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I had a quick question regarding the sensor data provided in the 2025 Data Challenge.
Several sensors (e.g., T25, T3, T45, T5) appear to correspond to different engine stations. Could you please clarify:
1. Are the sensors arranged in a known radial or axial spatial layout?
2. Is the dataset intended to be modeled with any spatial structure, or should it be treated purely as multivariate time series data?Thank you for your support.
- Yes, the sensors are at different axial locations from the front to the back of the engine. T25 is the temperature at the HPC inlet; T3 is the temperature at the HPC exit; T45 is the temperature at the LPT inlet (HPT exit); T5 is the temperature at the LPT exit.
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Not sure what you mean by “Is the dataset intended to be modeled with any spatial structure?” As pointed out above each sensor is at the different axial location. It would be nice if we measured temperature and pressure at the inlet and exit of each of the five components — Fan, LPC, HPC, HPT, and LPT. But, we only have six of these sensors. You can estimate efficiency and flow changes to each of these five components individually or all together, your choice. If this did not answer your question, please let me know.
Shreeder Adibhatla
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