Abstract:
A system includes a processor. The processor is configured to identify relevant factors related to a configuration of a power production system comprising a gas turbine system based at least on a fleet data for a fleet of the gas turbine system. The processor is further configured to build one or more risk models configured to derive a probability of achieving a performance level for the configuration based on the relevant factors. The processor is additionally configured to execute the risk models to derive an engineering recommendation, a commercial recommendation, or a combination thereof.
Abstract:
A system and method for remotely monitoring and diagnosing a device is disclosed. Data related to the device is obtained at a first network. The obtained data is encrypted to generate an encrypted code at the first network. A copy of the encrypted code is obtained at a second network that is separated from the first network via a non-network medium such as an air gap. The copy of the encrypted code is decoded to obtain the data related to the device at the second network. The data is used at the second network to monitor and diagnose the device at the second network.