Machine Failure Prediction Using Sensor Data

Dataset Overview
This dataset contains sensor data collected from various machines, with the aim of predicting machine failures in advance. It includes a variety of sensor readings as well as the recorded machine failures.

Columns Description
footfall: The number of people or objects passing by the machine.
tempMode: The temperature mode or setting of the machine.
AQ: Air quality index near the machine.
USS: Ultrasonic sensor data, indicating proximity measurements.
CS: Current sensor readings, indicating the electrical current usage of the machine.
VOC: Volatile organic compounds level detected near the machine.
RP: Rotational position or RPM (revolutions per minute) of the machine parts.
IP: Input pressure to the machine.
Temperature: The operating temperature of the machine.
fail: Binary indicator of machine failure (1 for failure, 0 for no failure).