Abstract: A computer-implemented maintenance/repair workscope development tool uses one or more sources of gas turbine engine/fleet operational condition data, gas turbine engine/fleet historical data and gas turbine engine/fleet specific information, including other historical, statistical and maintenance/engineering records data to develop a recommended maintenance/repair workscope. A method, system and program product are described for producing a recommended maintenance/repair workscope for individual machines and/or machines on a fleet level. Relevant domain knowledge/information models along with appropriate application rules defining maintenance/repair requirements are predetermined and maintained in a network accessible database/repository. A rules/reasoner engine is used to develop logical inferences and make intelligent workscope choices based upon user input situational data, operational condition data stored in data/information databases and the predetermined knowledge/information models and rules.

Abstract: Methods, systems, and apparatus for controlling a turbine clearance in an aircraft engine are provided. A method includes activating a turbine clearance control based on a flight phase of an aircraft using the aircraft engine, and adjusting the turbine clearance based on a preselected turbine clearance value.

Abstract: Methods, systems, and apparatus for controlling a turbine clearance in an aircraft engine are provided. A method includes activating a turbine clearance control based on a flight phase of an aircraft using the aircraft engine, and adjusting the turbine clearance based on a preselected turbine clearance value.

Abstract: A system for collecting and analyzing shipment parameter data, e.g., temperature, vibration, acceleration, shock, humidity, barometric pressure, pH, transit time, container position, etc., affecting predicted statistical variables of articles is provided. Examples of the predicted statistical variables may include article life expectancy, warranty costs, service and/or maintenance schedules, etc. The system is made up of a plurality of data collection subsystems for respectively collecting shipment parameter data encountered by respective articles being shipped, and a data analysis subsystem coupled to receive the collected shipment data for adjusting the respective predicted statistical variables of the articles.

Abstract: Analysis of plasma data indicative of gaseous species therein, such as Optical Emission Spectroscopy (OES) data, is aided through the interactive use of a computer. OES data may be calibrated by the computer with minimal input from the user regarding a gas the user knows or suspects is present. The computer then assumes the presence of that gas and assigns relative intensity peaks to known wavelengths for that gas, allowing calibration to take place. Selective identification of particular gases from the data is also possible. Used in conjunction with selective identification, a learning function allows the system to improve the accuracy of future gaseous species identification. Certain characteristics of a particular gas over time, such as intensity at a particular wavelength or at all wavelengths, may also be automatically plotted.

Abstract: Automated, closed loop method and system for monitor and control of semiconductor fabrication processing are described. Optical emissions spectrometer (OES) data readings from a fabrication plasma chamber are statistically analyzed and a novel pattern model (based on Markov random fields) is used in combination with a selective stochastic relaxation technique to identify gaseous species within the chamber from the OES readings. Wavelength and intensity information is also employed to accurately estimate relative concentration levels of identified gases within the chamber. The unique statistical analysis approach described allows real-time monitor and control of physical processing within the fabrication chamber. Several practical algorithms are set forth, including techniques for OES peak identification, peak sharpening, gas identification, and physical processing control.

Abstract: The present invention employs random electrostatic discharges to stress test electrical machinery, particularly digital computer systems running repetitive diagnostic programs. There is provided an interactive capability which allows the user to determine test duration either in terms of a fixed time or in terms of a specified confidence level, the latter case being one in which the system provides the user with an indication of the run time required. Significant improvements over deterministic "zapping" devices result.