Abstract: Systems and methods of estimating an efficiency of a section of a steam turbine are disclosed. The systems and methods include determining a set of measurement data obtained directly from a set of sensors on the steam turbine, determining a set of derived data relating to measurements that cannot be obtained directly from the set of sensors, and estimating the efficiency of the section using the set of measurement data and the set of derived data. The systems and methods disclosed use physics-based models combined with nonlinear filtering techniques to estimate steam turbines' efficiencies when physical sensors are not available. These models capture the behavior of different components of the power plant, including all steam turbine sections, admission and crossover pipes, flow junctions, admission and control valves.

Abstract: A bearing monitoring system includes at least one sensor, and a fuzzy logic enabled device operatively connected to the at least one sensor. The fuzzy logic enabled device includes a fuzzy logic rule set that is configured and disposed to determine a component condition based on an input from the at least one sensor.

Abstract: This disclosure describes systems and methods for alarm management. In some embodiments, data associated with a parameter of an asset may be received from an asset and stored in memory. An impact value may be determined for the parameter based at least in part on a rule set. The impact value may be a numeric value associated with the asset and determined based at least in part on a Bayesian belief network (BBN) rule set, a fuzzy logic rule set, or a combination thereof. The impact value may be analyzed based at least in part on an escalation value rule set. In response to analyzing the impact value, the impact value may be prepared for presentation.

Abstract: A method and system for monitoring a condition of a machine are provided. The machine monitoring system includes a housing mounted to a surface of a machine, a plurality of sensors configured to generate respective output signals for a parameter indicative of a condition of the machine, and a voting module positioned within the housing and configured to generate a corrected output based on the respective output signals. The machine monitoring system also includes a memory device including a store location configured to store manual input functions relating to a construction of the machine, a life calculator communicatively coupled to the voting module and the memory device wherein the life calculator is configured to determine a life remaining in the machine using the corrected output and the manual input functions, and a display positioned within the housing and configured to display the life remaining in the machine.

Abstract: A power meter includes a power detection unit to sense a level of consumed power in at least a portion of a building and to output sensed power level data, a timing unit to designate a predetermined period of time, and an analysis unit. The analysis unit receives the sensed power level data, determines whether the level of consumed power is abnormal by generating a representative value representative of the level of consumed power over the predetermined period of time, compares the representative value to a threshold value, and outputs an alert to a remote device when it is determined that the consumed power is abnormal based at least on the comparison of the representative value to the threshold value.

Abstract: A bearing monitoring system includes at least one sensor, and a fuzzy logic enabled device operatively connected to the at least one sensor. The fuzzy logic enabled device includes a fuzzy logic rule set that is configured and disposed to determine a component condition based on an input from the at least one sensor.

Abstract: Systems and methods for two-way secure data communication within critical infrastructures are usable to protect critical infrastructure information while allowing real-time monitoring and remote access. Such communication systems and methods can be used to protect critical data by, for example, providing a single point of access via unidirectional, serial, non-routable connections. Additionally, data flow may be controlled by a Web server that is not directly connected, and does not have direct access to, the critical information.

Abstract: Systems and methods of estimating an efficiency of a section of a steam turbine are disclosed. The systems and methods include determining a set of measurement data obtained directly from a set of sensors on the steam turbine, determining a set of derived data relating to measurements that cannot be obtained directly from the set of sensors, and estimating the efficiency of the section using the set of measurement data and the set of derived data. The systems and methods disclosed use physics-based models combined with nonlinear filtering techniques to estimate steam turbines' efficiencies when physical sensors are not available. These models capture the behavior of different components of the power plant, including all steam turbine sections, admission and crossover pipes, flow junctions, admission and control valves.

Abstract: A method and system for monitoring a condition of a machine are provided. The machine monitoring system includes a housing mounted to a surface of a machine, a plurality of sensors configured to generate respective output signals for a parameter indicative of a condition of the machine, and a voting module positioned within the housing and configured to generate a corrected output based on the respective output signals. The machine monitoring system also includes a memory device including a store location configured to store manual input functions relating to a construction of the machine, a life calculator communicatively coupled to the voting module and the memory device wherein the life calculator is configured to determine a life remaining in the machine using the corrected output and the manual input functions, and a display positioned within the housing and configured to display the life remaining in the machine.