Rockwell Automation Technologies Incorporated

Ondrej Flek

Christopher Wayne Como

David Dale Brandt

Charles Martin Rischar

Philip John Kaufman

Guolin Zhang

Frederick Michael Discenzo

Peter J Unsworth

Kenneth Alan Loparo

Jan Bezdicek

Bohumir Sladek

Dukki Chung

Joseph K Zevchek

Dragica Kostic Perovic

Jiri Ryba

Muslum Arkan

Sarat Babu Vetcha

Petr Tusla

Srdjan Perovic

For energy operations across domains, a method generates a native node and a foreign node that includes a foreign data structure that is defined with a foreign protocol and that represents information of a foreign device in a foreign namespace. The method links the native node and the foreign node in a native namespace and the foreign namespace by a translation function that automatically converts information between the foreign data structure and the proxy data structure using protocol specific structure converting functions. The method further establishes a first publish/subscription instance with message middleware for the foreign device as publisher of the first publish/subscription instance. The method translates a message from the foreign device using the communication stack.

Energy operations across domains

For energy operations across domains, a method generates a native node and a foreign node. The method further generates protocol reference data that identifies protocol specific relationships between the native node and the foreign node under an address space. In addition, the method links the native node and the foreign node in a native namespace and a foreign namespace by a translation function that automatically converts information between the foreign data structure and the proxy data structure using protocol specific structure converting functions. The method maps a native method calling of the native node to a foreign method calling of the foreign node using a protocol specific method mapping function.

Systems and methods are disclosed for controlling, diagnosing and prognosing the health of a motorized system. The systems may comprise a diagnostics system, a prognostic system and a controller, wherein the diagnostics system and/or prognostic system employs a neural network, an expert system, and/or a data fusion component in order to assess and/or prognose the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and/or a diagnostics signal from the diagnostics system and/or prognostic information. Also disclosed are methodologies for controlling, diagnosing and prognosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, diagnosing and/or prognosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and/or the diagnostics signal and/or prognosis.

Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis

The present invention provides cavitation detection systems and methods employing a classifier for detecting, diagnosing and/or classifying cavitation in a pumping system. The classifier can be integral to tie cavitation detection system and/or operatively coupled to the cavitation system via a controller, diagnostic device and/or computer. Parameters such as flow, pressure and motor speed arc measured and/or estimated, and then provided to a classifier system Such systems include Bayesian, Fuzzy Set, nonlinear regression, neural networks and other training systems, for example The classifier system provides a signal indicative of the existence and extent of cavitation. An exemplary classification system is presented that delineates cavitation extent into one or more of the following categories: (no cavitation), (incipient cavitation), (medium cavitation), (fill cavitation) and (surging cavitation). The cavitation signal can be utilized for monitoring and/or controlling a pumping system to mitigate pump wear, failure and other conditions associated with cavitation.

System and method for detecting and diagnosing pump cavitation

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Lodenice, Czechia

Ondrej Flek