Abstract: The present disclosure relates to a system, an apparatus, and a method for managing health condition of at least one rotating system. The method includes receiving, by a processing unit, operational data associated with the rotating system in real-time, from one or more sensing units. The operational data includes parameter values corresponding to an operation of the rotating system. Further, a virtual replica of the rotating system is configured using the operational data. A behavior of the rotating system is simulated on a simulation instance of the rotating system based on the configured virtual replica. The simulation results are analyzed to determine an abnormality in the health condition of the rotating system. The abnormality corresponds to a health status of an internal component of the rotating system. Further, a notification indicating the abnormality is generated, on a Graphical User Interface.

Abstract: A system, apparatus and method for estimating remaining useful life of at least one bearing is provided. The method includes receiving request for analyzing defect in bearing from source, determining vibration spectrum of bearing from the received operational data, monitoring an impact of defect on one bearing over a period of time based on the determined vibration spectrum, determining characteristic values from the vibration spectrum for which the impact of the defect on the bearing is above a threshold range, determining impact force during an operation of the at least one bearing based on the determined characteristic values and one or more parameters obtained from a virtual bearing model, determining remaining useful life of the bearing based on the determined impact force during the time period and generating a notification indicating the remaining useful life of the bearing on output device.

Abstract: Systems, devices, and methods of condition-based management of electro-mechanical systems are disclosed. The method includes generating a stress profile for the electro-mechanical system based on operating or simulating operation of the electro-mechanical system in accordance with a load profile, wherein the load profile indicative of operation duration and load capacity of the electro-mechanical system. The method further includes receiving condition data associated with the electro-mechanical system in operation from a plurality of sensing units and predicting a failure instance of the electro-mechanical system using an accelerated degradation model based on at least one of the stress profile and the condition data. The accelerated degradation model is generated when the electro-mechanical system is operated above a rated stress.

Abstract: A system, apparatus and method for instantaneous performance management of a machine tool is provided. The method receiving real-time condition data associated with one or more components of the machine tool from one or more sources. Further, at least one parameter value associated with the one or more critical components, which is likely to affect a performance of the machine tool, is computed based on the condition data. Further, a digital twin of the machine tool is configured based on the parameter value to simulate a behavior of the one or more critical components in a simulation environment. Further, an impact on the performance of the machine tool is predicted based on the simulated behavior of the one or more critical components. Further, an operation of the machine tool is optimized based on the predicted impact.

Abstract: A system, apparatus and method for managing an electromechanical system is provided. In an embodiment, the method includes receiving, by a processing unit, operational data associated with the electromechanical system from one or more sensing units in real-time. Furthermore, the method includes detecting an event associated with a power supplied to the electromechanical system based on the operational data. Also, the method includes configuring a virtual replica of the electromechanical system using the operational data, based on the event detected. Additionally, the method further includes generating one or more simulation results by simulating the configured virtual replica in a simulation environment. Moreover, the method includes predicting an effect on the electromechanical system due to the event based on the simulation results.

Abstract: A system, apparatus and method of determining remaining life of a bearing is disclosed. The method includes generating a bearing model of the bearing. The bearing model is based on one of condition data associated with operation of the bearing, historical condition data of the bearing, bearing specification and technical specification of a technical system including the bearing. The method further includes predicting a defect in the bearing based on the bearing model and predicting the remaining life of the bearing based on the predicted defect.

Abstract: A system, apparatus and method for determining operational configuration of asset are provided. The method includes receiving a set of operating parameters associated with the asset, identifying data associated with the asset based on the received set of operating parameters, configuring a second digital twin of the asset based on the data identified from first knowledge database, simulating a behavior of the asset based on the configured second digital twin in a simulation environment, and determining an operational configuration associated with the variant of the asset based on results of the simulation.

Abstract: Systems, methods, and control units for diagnosis and life prediction of one or more electro-mechanical system are provided. One method includes receiving sensor data from a plurality of sensors associated with operation of the electro-mechanical system. The method includes determining at least one system response associated with at least one failure mode of the electro-mechanical system from the sensor data, wherein the sensor data is indicative of the at least one failure mode of the electro-mechanical system. The method further includes receiving at least one simulated response associated with the at least one failure mode of the electro-mechanical system, wherein the at least one failure mode is simulated on a system model of the electro-mechanical system.

Abstract: Systems, devices, and methods of condition-based management of electro-mechanical systems are disclosed. The method includes generating a stress profile for the electro-mechanical system based on operating or simulating operation of the electro-mechanical system in accordance with a load profile, wherein the load profile indicative of operation duration and load capacity of the electro-mechanical system. The method further includes receiving condition data associated with the electro-mechanical system in operation from a plurality of sensing units and predicting a failure instance of the electro-mechanical system using an accelerated degradation model based on at least one of the stress profile and the condition data. The accelerated degradation model is generated when the electro-mechanical system is operated above a rated stress.

Abstract: The present disclosure relates to a system, an apparatus, and a method for managing health condition of at least one rotating system. The method includes receiving, by a processing unit, operational data associated with the rotating system in real-time, from one or more sensing units. The operational data includes parameter values corresponding to an operation of the rotating system. Further, a virtual replica of the rotating system is configured using the operational data. A behavior of the rotating system is simulated on a simulation instance of the rotating system based on the configured virtual replica. The simulation results are analyzed to determine an abnormality in the health condition of the rotating system. The abnormality corresponds to a health status of an internal component of the rotating system. Further, a notification indicating the abnormality is generated, on a Graphical User Interface.

Abstract: A system, apparatus and method of determining remaining life of a bearing is disclosed. The method includes generating a bearing model of the bearing. The bearing model is based on one of condition data associated with operation of the bearing, historical condition data of the bearing, bearing specification and technical specification of a technical system including the bearing. The method further includes predicting a defect in the bearing based on the bearing model and predicting the remaining life of the bearing based on the predicted defect.

Abstract: Provided is a method, a device and a positioning system for positioning a sensor at an optimized position for optimized monitoring of a technical system. The method includes providing a physical simulation model of the technical system, wherein the physical simulation model includes a virtual sensor at a given position, simulating a performance of the technical system by the physical simulation model, providing a response signal of the virtual sensor to the simulated performance at the given position, determining a first optimized position for the virtual sensor where the response signal is intensified by an optimization algorithm, and providing co-ordinates of the first optimized position for positioning a physical sensor at the technical system.

Abstract: Systems, methods, and control units for diagnosis and life prediction of one or more electro-mechanical system are provided. One method includes receiving sensor data from a plurality of sensors associated with operation of the electro-mechanical system. The method includes determining at least one system response associated with at least one failure mode of the electro-mechanical system from the sensor data, wherein the sensor data is indicative of the at least one failure mode of the electro-mechanical system. The method further includes receiving at least one simulated response associated with the at least one failure mode of the electro-mechanical system, wherein the at least one failure mode is simulated on a system model of the electro-mechanical system.