Sensor Anomaly Autoencoder

This autoencoder diagram describes one way to detect unusual pump behavior from sensor readings. The model compresses vibration and temperature inputs into a small latent representation, then attempts to reconstruct the original readings. When it has learned normal operating patterns, a large reconstruction difference can be used as an anomaly signal. The drawing is intentionally focused on the encoder-decoder path. A complete monitoring design also needs a data window, a reconstruction-error calculation, an alert threshold, and a review process for operators. Use it to explain the machine-learning component of that wider system, especially when failure labels are incomplete or unreliable.