Abstract: A method and system for identifying parts manufactured by a workstation by measuring signals generated by machines in the workstation, extracting features from the signals, clustering the features into clusters, associating clusters with manufactured parts and recognizing the parts through the clusters.

Abstract: Disclosed herein are methods and systems for the unsupervised, non-intrusive monitoring of motorized machines on a shop floor. A statistical algorithm is used to train itself to distinguish between an inactive and an active state of each monitored machine. The systems and methods use inexpensive sensors, do not intervene in the operation of the machines upon installation, would not adversely affect the operation of the machines, if the monitoring system would fail, do give reliable reports, and do not require any more than negligible human training.