Abstract: A method for automated condition monitoring whereby techniques of automated vibration analysis and signal processing are combined with deep learning/machine learning techniques for an enhanced system of automated anomaly detection, problem classification, and problem regression. The method may be implemented in software, firmware or hardware to run autonomously. Machines monitored and analyzed according to the disclosed method are typically found in industrial plants or commercial applications, but the disclosed invention may be applied to any rotating equipment such as motors, fans, pumps, compressors, and etc., in any environment where they are functioning.

Abstract: A method for automated condition monitoring whereby techniques of automated vibration analysis and signal processing are combined with deep learning/machine learning techniques for an enhanced system of automated anomaly detection, problem classification, and problem regression. The method may be implemented in software, firmware or hardware to run autonomously. Machines monitored and analyzed according to the disclosed method are typically found in industrial plants or commercial applications, but the disclosed invention may be applied to any rotating equipment such as motors, fans, pumps, compressors, and etc., in any environment where they are functioning.

Abstract: A method and apparatus identifies a region of interest of transient vibration data needing analysis and provides context and construction for analytical plots. The method provides transient data, determines a region of interest of the transient data, specifies a construction mode corresponding to a derived graphical display of the transient data, and specifies one or more construction parameters corresponding to the specified construction mode. The method also processes the transient data to produce at least one derived plot based on the transient data, the region of interest, the specified construction mode, and the specified construction parameters. This method may be performed by a graphical tool having a hardware module and a software module. The hardware module including a processor, a memory, a display, and a communicator, and the software module including a plotting module and a plot control module.

Abstract: A method and apparatus identifies a region of interest of transient vibration data needing analysis and provides context and construction for analytical plots. The method comprises providing transient data and determining a region of interest of the transient data, specifying a construction mode corresponding to a derived graphical display of the transient data and specifying a construction parameter corresponding to the specified construction mode. The method also comprises processing the transient data to produce at least one derived plot based on the transient data, the region of interest, the specified construction mode, and the specified construction parameters. This method may be performed by a graphical tool having a hardware module and a software module. The hardware module including a processor, a memory, a display, and a communicator, and the software module including a plotting module and a plotcontrol module.