Abstract: A plant asset failure prediction system and associated method. The method includes receiving user input identifying a first target set of equipment including a first plurality of units of equipment. A set of time series waveforms from sensors associated with the first plurality of units of equipment are received, the time series waveforms including sensor data values. A processor is configured to process the time series waveforms to generate a plurality of derived inputs wherein the derived inputs and the sensor data values collectively comprise sensor data. The method further includes determining whether a first machine learning agent may be configured to discriminate between first normal baseline data for the first target set of equipment and first failure signature information for the first target set of equipment.

Abstract: A system for performing failure signature recognition training for at least one unit of equipment. The system includes a memory and a processor coupled to the memory. The processor is configured by computer code to receive sensor data relating to the unit of equipment and to receive failure information relating to equipment failures. The processor is further configured to analyze the sensor data in view of the failure information in order to develop at least one learning agent for performing failure signature recognition with respect to the at least one unit of equipment.

Abstract: A server platform and a method to integrate a plurality of diverse plant floor equipment with at least one computerized management system in a manufacturing operational or maintenance system. The server platform includes a plurality of plant floor drivers adapted to communicatively interface with a plurality of diverse plant floor data sources. The server platform further includes at least one computerized management system driver adapted to communicatively interface with the at least one computerized management system. The server platform also includes a message translator adapted to broker communication between the plant floor data sources and the at least one computerized management system using an open standard. The server platform, using the open standard, enables a universal enterprise type taxonomy across the plant floor data sources and the at least one computerized management system.

Abstract: A plant asset failure prediction system and associated method. The method includes receiving user input identifying a first target set of equipment including a first plurality of units of equipment. A set of time series waveforms from sensors associated with the first plurality of units of equipment are received, the time series waveforms including sensor data values. A processor is configured to process the time series waveforms to generate a plurality of derived inputs wherein the derived inputs and the sensor data values collectively comprise sensor data. The method further includes determining whether a first machine learning agent may be configured to discriminate between first normal baseline data for the first target set of equipment and first failure signature information for the first target set of equipment.

Abstract: A system for performing failure signature recognition training for at least one unit of equipment. The system includes a memory and a processor coupled to the memory. The processor is configured by computer code to receive sensor data relating to the unit of equipment and to receive failure information relating to equipment failures. The processor is further configured to analyze the sensor data in view of the failure information in order to develop at least one learning agent for performing failure signature recognition with respect to the at least one unit of equipment.

Abstract: A server platform and a method to integrate a plurality of diverse plant floor equipment with at least one computerized management system in a manufacturing operational or maintenance system. The server platform includes a plurality of plant floor drivers adapted to communicatively interface with a plurality of diverse plant floor data sources. The server platform further includes at least one computerized management system driver adapted to communicatively interface with the at least one computerized management system. The server platform also includes a message translator adapted to broker communication between the plant floor data sources and the at least one computerized management system using an open standard. The server platform, using the open standard, enables a universal enterprise type taxonomy across the plant floor data sources and the at least one computerized management system.

Abstract: A system for performing failure signature recognition training for at least one unit of equipment. The system includes a memory and a processor coupled to the memory. The processor is configured by computer code to receive sensor data relating to the unit of equipment and to receive failure information relating to equipment failures. The processor is further configured to analyze the sensor data in view of the failure information in order to develop at least one learning agent for performing failure signature recognition with respect to the at least one unit of equipment.

Abstract: A server platform and a method to integrate a plurality of diverse plant floor equipment with at least one computerized management system in a manufacturing operational or maintenance system. The server platform includes a plurality of plant floor drivers adapted to communicatively interface with a plurality of diverse plant floor data sources. The server platform further includes at least one computerized management system driver adapted to communicatively interface with the at least one computerized management system. The server platform also includes a message translator adapted to broker communication between the plant floor data sources and the at least one computerized management system using an open standard. The server platform, using the open standard, enables a universal enterprise type taxonomy across the plant floor data sources and the at least one computerized management system.

Abstract: A server platform and a method to integrate a plurality of diverse plant floor equipment with at least one computerized management system in a manufacturing operational or maintenance system. The server platform includes a plurality of plant floor drivers adapted to communicatively interface with a plurality of diverse plant floor data sources. The server platform further includes at least one computerized management system driver adapted to communicatively interface with the at least one computerized management system. The server platform also includes a message translator adapted to broker communication between the plant floor data sources and the at least one computerized management system using an open standard. The server platform, using the open standard, enables a universal enterprise type taxonomy across the plant floor data sources and the at least one computerized management system.