Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are configured to detect and characterize power quality issues (PQIs) by independently training artificial intelligence (AI) and machine learning (ML) models on each power quality issue and sequentially deploying them is disclosed. A multi-tier architecture includes PQI agents that are deployed reliably to monitor the power quality issues in reduced time. The multi-tier architecture includes the capability for the models to dynamically update on new data to adjust to the constantly changing conditions of the power grid. An extensible power-quality-issue-aware detection system generates data-driven anomaly scores to guide engineers and others in performing root case analysis (RCA) on power quality events associated with a facility or equipment.

Abstract: An ergonomic loading assembly for an I/O port onto which a bare cassette may be easily loaded and unloaded. The loading assembly further provides isolation between the operator and the I/O port after loading of a cassette to minimize safety risks and to minimize the amount of particulates and contaminants around the workpieces while on the port. In a preferred embodiment, the loading assembly includes a cover assembly having a stationary cover section around the port plate, and two pivoting cover sections which open and close like jaws to allow a cassette to positioned within the cover assembly when opened and which enclose the cassette within the cover assembly when closed. The loading assembly further includes a pivoting deck onto which the cassette is loaded when the pivoting cover sections are open. The deck receives the cassette with the workpieces oriented at or near vertical.