Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.

Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.

Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.

Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.

Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.

Abstract: A handy gas torch controlled by a valve control mechanism to eject gas into a combustion chamber inside a nozzle for burning, said valve control mechanism comprising a valve control sleeve having a bearing plate fastened therein, a gas tube inserted through said bearing plate, said gas tube having a valve attached thereto at the bottom and stopped at a valve port through which gas is discharged out of a gas tank, a screw nut screwed up with said gas tube at the top above said bearing plate, a guide member mounted on said screw nut at the top, and spring means constantly forcing said valve to stop at said valve port. Moving said valve control sleeve causes said valve to disconnect from said valve port for discharging gas out of said gas tank into said nozzle for combustion. Releasing upward pressure from said valve control sleeve causes said valve to stop said valve port again. Said nozzle comprises a combustion tube having a commutator fastened therein through which a very hot flame is produced for welding.