Abstract: Systems and methods for deriving workforce activity and behavioral insights from data exhaust are disclosed. In one embodiment, a method for deriving workforce activity and behavioral insights from data exhaust may include: (1) ingesting, by a workforce activity data computer program executed by an electronic device, worker data for a plurality of workers from a plurality of data sources; (2) retrieving, by the workforce activity data computer program, reference data; (3) joining, by the workforce activity data computer program, the worker data and the reference data; (4) enriching, by the workforce activity data computer program, derived data points from the joined worker data and reference data; and (5) outputting, by the workforce activity data computer program, the enriched derived data points.

Abstract: A description is given of a method for the analysis and/or monitoring of the partial discharge behavior of an electrical operating means, in particular in terms of its development over time. Here, appropriate partial discharge data is recorded in process state matrices (2, 3), in which, in each case in a matrix element (5) of the process state matrix (1), the amplitude (7) of a partial discharge, its phase angle (6) and its frequency of occurrence is depicted (in particular what is known as a PRPD representation). A simplified analysis is made possible by the fact that, at a first time, a partial discharge process state is registered in a first process state matrix (2) and, at a later time, a further partial discharge process state is registered in a further process state matrix (3). Then, for the purpose of analysis and/or monitoring, the first (2) and the second (3) process state matrix are compared with the aid of comparison and scaling methods.

Abstract: A description is given of a method for the analysis and/or monitoring of the partial discharge behavior of an electrical operating means, in particular in terms of its development over time. Here, appropriate partial discharge data is recorded in process state matrices (2, 3), in which, in each case in a matrix element (5) of the process state matrix (1), the amplitude (7) of a partial discharge, its phase angle (6) and its frequency of occurrence is depicted (in particular what is known as a PRPD representation). A simplified analysis is made possible by the fact that, at a first time, a partial discharge process state is registered in a first process state matrix (2) and, at a later time, a further partial discharge process state is registered in a further process state matrix (3). Then, for the purpose of analysis and/or monitoring, the first (2) and the second (3) process state matrix are compared with the aid of comparison and scaling methods.