Csi Technology, Inc.

Michael D Rich

Anthony John Hayzen

Kenneth Ralph Piety

Todd W Reeves

Deane M Horn

Kevin D Steele

Mark William Slemp

Christopher G Hilemon

Raymond Earl Garvey, Iii

Thomas E Nelson

Robert Darrell Skeirik

Joseph A Vrba

Mark L Granger

Jason Edwards

Arthur R Crawford

Miodrag Glumac

Leanne Tuggle Metzger

Vern W Lowry, Ii

A method for importing data from a first system into a second system includes receiving configuration information about data storage structures in the first and second systems and information about communicating with the first and second systems. Information to be used in creating an import configuration file is entered via a user interface. The import configuration file is for use in preparing the second system to receive data from the first system. Based on the information about data storage structures, the information about communicating with the first and second systems, and the information entered via the user interface, the import configuration file is created to prepare the second system to receive data from the first system. Based on the import configuration file, data is transferred from the first system into the second system.

Control system configuration for linking to machinery monitoring system

A method performed by one or more computer processors imports data from a machinery monitoring system into a control system. The machinery monitoring system is a system that measures machine measurement parameters of a machine, and the control system is a system that controls processes in which the machine performs a function. The method includes accessing a first knowledge base containing information about communicating with the machinery monitoring system, and accessing a second knowledge base containing information about communicating with the control system. The method also includes extracting configuration information from the machinery monitoring system via a communication bus. Information is entered by a user for use in creating an import configuration file, which file is used in preparing the control system to receive data from the machinery monitoring system. The entering of information is performed via a user interface operatively connected to the one or more computer processors. Based on the information accessed from the first and second knowledge bases, the configuration information extracted from the machinery monitoring system, and the information entered by the user, the import configuration file is created for use in preparing the control system to receive data from the machinery monitoring system. Data from the machinery monitoring system may then be transferred into the control system based on the import configuration file.

Method and apparatus to configure control system to link to machinery monitoring system

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.

Method and apparatus for identifying a region of interest of transient vibration data requiring analysis

A method and apparatus for inspecting equipment using focal plane array imaging sensor data and dynamic sensor data. Methods involve capturing focal plane array imaging sensor data using a focal plane array imaging sensor such as an infrared camera or a visible camera, or acquiring imaging sensor data from an electronic data storage source, and involve capturing dynamic sensor data, such as vibration or ultrasonic data using a dynamic sensor such as an accelerometer or ultrasound system. Methods also provide for analyzing imaging and dynamic sensor data using such techniques as thermography and fast fourier transformation. Apparatuses include a portable instrument with sensor interfaces for collecting imaging sensor data and dynamic sensor data. A sensor suite is provided that includes vibration sensor, sonic sensors, ultrasonic sensors, oil sensors, flux sensors and current sensors. A base station is included to collect and analyze data from one or more portable instruments.

Apparatus and method for automation of imaging and dynamic signal analyses

The present invention is an apparatus for detecting machine parameters including vibration, producing signal corresponding to the parameters and conditioning the signals by means of predetermined criteria such as amplitude and time criteria. Routes may be input to the analyzer with settings that govern part of the conditioning for individual machines. The predetermined criteria also may include an input limit criterion which ensures the safety of the analyzer circuitry by indicating attenuation levels for incoming signals. The analyzer is also capable of two channel analysis of input signals including a summing analysis. The analyzer has thumb operated controls for easy operation in harsh environments.

Signal analyzer with signal conditioners

A hand-held apparatus gathers and analyzes test data associated with rotating electric machines, where the test data is indicative of one or more operational characteristics of the mechanical equipment. The apparatus, which is operable to be carried by an operator from one machine to another along a test route, includes a sensor input port for receiving a sensor signal from a sensor, where the sensor signal is indicative of one or more operational characteristics of the rotating electric machines. The apparatus also includes a signal conditioning circuit for receiving the sensor signal, and for conditioning the sensor signal to produce a conditioned signal which is appropriate in format to be digitally processed. A processor, which is coupled to the signal conditioner, receives and processes the conditioned signal according to processing instructions and processing parameters to produce a test spectrum. The processing parameters determine one or more characteristics of the test spectrum. A memory device, which is coupled to the processor, stores a plurality of executable test expert modules, each containing the processing instructions for processing the conditioned signal in a particular way to determine one or more of the operational characteristics of the rotating electric machines. An operator input device is coupled to the processor for receiving input from the operator to select one of the test expert modules to be executed to process the conditioned signal according to the processing instructions contained in the selected module. The apparatus further includes a display device for displaying the test spectrum to the operator. The test expert modules contain processing instructions for determining whether the processing parameters have been set according to a predetermined configuration for a particular test point on the test route, and for processing the conditioned signal in a way dependent upon whether or not the processing parameters have been set according to such a predetermined configuration.

Expert analysis modules for machine testing

The invention provides a computerized method and apparatus which enables a user, even one who has little or no predictive maintenance skills, to establish a predictive maintenance database that defines information needed to monitor equipment in accordance with a predictive maintenance plan. The type of equipment components to be monitored and associated physical characteristics of the components are input to a computer as an equipment configuration, which may include one or more interconnected components. The computer includes a knowledge base that defines relationships between monitoring practices, component types, and physical characteristic information for component types. A predictive maintenance database is constructed for the components using the inference engine operating on the knowledge base, the selected component type, and the selected physical characteristic information. Multiple measurement technologies may be specified for each component. Preferably, for each measurement technology specified, the predictive maintenance database includes measurement points, an analysis parameter set, and an alarm limit set. Equipment configurations may be defined by the user, or they may be stored in a configuration/component warehouse with little or no configuration definition required of the user.

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Powell, TN, United States of America

Michael D Rich