Abstract: A method and system for determining gas turbine emissions utilizing meteorological data is provided. The method and system may include at least one emissions prediction system. The method and system may also predict at least one meteorological condition. The method and system may also determine an emissions allowance.

Abstract: A system includes an analysis module and/or a prediction module. The analysis module receives data from a heat transfer device, and can compute a performance indicator indicative of an incipient anomaly condition of the heat transfer device based upon the received data, and/or can compute a normalized efficiency of the heat transfer device. The normalized efficiency represents a corrected efficiency that isolates effects of a process parameter on performance of the heat transfer device. The data represents a measurable process parameter or a change in a measurable process parameter in the heat transfer device. The prediction module receives the data and computes a performance indicator to predict performance degradation of the heat transfer device over time based upon the received data. Associated methods are provided.

Abstract: A Monitoring and Diagnostics System is provided, which includes a monitoring unit and a monitored unit remotely located from the monitoring unit. The System also includes communication means between the monitoring unit and the monitored unit. The monitored unit includes data acquisition means for providing fault data of the monitored unit and the communication means are adapted to communicate the fault data from the monitored unit to the monitoring unit. The monitoring unit includes a rules engine having a set of expert rules for analyzing the information contained in the fault data and being adapted to deduce diagnostics information from the rules and from the information. In addition, a communication method for communicating between a first Programmable Logic Controller and a second Programmable Logic Controller or a central unit is provided, in which a description file is provided.

Abstract: The method includes obtaining input data representative of a first parameter of a cryogenic medium in a cryogenic cooling system is provided. The method further includes calculating an expected value representative of a second parameter of the cryogenic medium in the cooling system via a predefined physics based model. A second input data representative of the second parameter of the cryogenic medium in the cooling system is estimated. The expected value is compared to the second input data and difference between the expected value and the second input data is correlated to statistical data to estimate a likelihood of cryogenic cooling system event.

Abstract: A system for isolating effects of one or more process parameters on performance of a heat transfer device is provided. The system includes an efficiency correction unit that is adapted to receive data from the heat transfer device. The data is representative of one or more measurable process parameters or a change in the one or more measurable process parameters of the heat transfer device. The efficiency correction unit is also configured to compute a normalized efficiency of the heat transfer device. The normalized efficiency represents a corrected efficiency that isolates effects of one or more process parameters on performance of the heat transfer device.

Abstract: In a railroad locomotive having a plurality of systems which collectively are used for locomotive operations, a method of self-healing a system of the plurality of systems comprising monitoring operational conditions of the system, detecting at least one of a pending and a current failure, determining a self-healing procedure to correct the failure, and applying the self-healing procedure comprising at least one of a safe mode technique, a redundancy technique, and an automatic configuration technique.