Abstract: An anomaly diagnosis system obtains a plurality of anomaly signals corresponding to a plurality of sensor signals of a physical system and segments one or more anomaly signals into a plurality of time segments. The system determines an anomaly score for each time segment based on anomaly values of the one or more anomaly signals during the time segment and identifies an anomaly time interval corresponding to at least one consecutive time segment within the plurality of time segments. The system clusters the plurality of anomaly signals within the anomaly time interval to identify an anomaly group of sensor signals associated with the anomaly time interval and determines an aggregate anomaly score for the anomaly group. The system generates a graphical user interface presenting a representation of the anomaly group of sensor signals and the aggregate anomaly scores and causes the graphical user interface to be displayed on a user device.

Abstract: A remote plasma source (RPS) may include a toroidal chamber shaped to promote diffusion, reduce fluid velocity, and prolong fluid residence time in the RPS. A toroidal chamber may include an inlet, an outlet, an input leg, an output leg, and two interstitial legs connecting the input and output legs. A reference plane may bisect the toroidal chamber, the inlet, the outlet, and the four legs, wherein the inlet is substantially perpendicular to the reference plane and thereby configured to direct a fluid into the toroidal chamber substantially perpendicularly to the reference plane. A second inlet may be arranged in an opposing direction to the first inlet, either at the same corner of the input leg or at an opposing corner of the input leg.

Abstract: An anomaly diagnosis system obtains a plurality of anomaly signals corresponding to a plurality of sensor signals of a physical system and segments one or more anomaly signals into a plurality of time segments. The system determines an anomaly score for each time segment based on anomaly values of the one or more anomaly signals during the time segment and identifies an anomaly time interval corresponding to at least one consecutive time segment within the plurality of time segments. The system clusters the plurality of anomaly signals within the anomaly time interval to identify an anomaly group of sensor signals associated with the anomaly time interval and determines an aggregate anomaly score for the anomaly group. The system generates a graphical user interface presenting a representation of the anomaly group of sensor signals and the aggregate anomaly scores and causes the graphical user interface to be displayed on a user device.

Abstract: A computer system for managing a machine learning model that detects potential anomalies in the operation of a complex system is disclosed. In some embodiments, the computer system is programmed to receive sensor signal data originally produced by sensors of the complex system. The sensor signal data can include values for multiple sensor signals at multiple resolutions. The computer system is programmed to train, from given sensor signal data, the machine learning model that comprises one or more transformers, each transformer capturing a set of relationships between signals in a predetermined group of signals. During training, the computer system is programmed to also establish an expected range for an indicator of the relationship. The computer system is programmed to then execute the machine learning model on new sensor signal data and take remedial steps when any computed indicator falls outside the expected range, indicating a potential anomaly in the operation of the complex system.

Abstract: The invention generally relates to a facility wide sorting and/or sequencing system for improving product processing operations and, more particularly, to a facility wide system and related functionality for simultaneously sorting and sequencing mixed mail pieces such as, for example, flats and letter mail pieces. The flats and letter mail pieces are placed in frames so that all types of mail pieces can be sorted and/or sequenced simultaneously through merging and diverting a stream of filled trays into and out of different streams at a full or substantially full transport speed.

Abstract: The invention generally relates to a facility wide sorting and/or sequencing system for improving product processing operations and, more particularly, to a facility wide system and related functionality for simultaneously sorting and sequencing mixed mail pieces such as, for example, flats and letter mail pieces. The flats and letter mail pieces are placed in frames so that all types of mail pieces can be sorted and/or sequenced simultaneously through merging and diverting a stream of filled trays into and out of different streams at a full or substantially full transport speed.

Abstract: The invention generally relates to a facility wide sorting and/or sequencing system for improving product processing operations and, more particularly, to a facility wide system and related functionality for simultaneously sorting and sequencing mixed mail pieces such as, for example, flats and letter mail pieces. The flats and letter mail pieces are placed in frames so that all types of mail pieces can be sorted and/or sequenced simultaneously through merging and diverting a stream of filled trays into and out of different streams at a full or substantially full transport speed.

Abstract: The invention generally relates to a facility wide sorting and/or sequencing system for improving product processing operations and, more particularly, to a facility wide system and related functionality for simultaneously sorting and sequencing mixed mail pieces such as, for example, flats and letter mail pieces. The flats and letter mail pieces are placed in frames so that all types of mail pieces can be sorted and/or sequenced simultaneously through merging and diverting a stream of filled trays into and out of different streams at a full or substantially full transport speed.

Abstract: A dynamically configurable threat scanning machine management system is capable of tracking information associated with one ore more items and/or passengers. A central control computer network can transmit, among other things, operational software and threat profiles to the threat scanning machines, while the threat scanning machines can transmit, among other things, images and performance data to the central computer that can be distributed to one or more operator stations for review and analysis. The threat scanning machine management system can be arranged in a hierarchical manner, which enables threat scanning machines at various locations to be connected into regional, national or international control centers. The network may be wireless and the control computer may be portable, enabling a supervisor to remotely manage the system while remaining mobile. The tracked information allows, for example, comparison to other information to determine if an alarm or change in threat status is warranted.