Siemens Energy, Inc.

Westinghouse Electric Corporation

Siemens Westinghouse Power Corporation

Other

Siemens Aktiengesellschaft

Siemens Power Generation, Inc.

Edward David Thompson

Michael Twerdochlib

Evangelos V Diatzikis

James Frederick Lau

Maurice A Jenkins

David Bateman

Benjamin E Bassford, Iv

David R Tiffany

Justinian Rosca

Heiko Claussen

Hans-Gerd Brummel

Benjamin Todd Humphries

James R Pipkin

Robert F Gray

Ali Moradian

Ethan D Frolich

Peter L Wilheim

Konstanty F Unrug

Jon Patrick Oak

Samir K Nandy

James F Lau

Matt Bush

A system that applies a counteracting voltage or current to a rotating shaft to minimize a grounding voltage signal of the shaft, measures and analyzes the counteracting signal, and provides expert system logic that compares prior learned waveforms and models of baseline, fault, and degradation waveforms to operational waveforms to determine and predict faults and degradation events. Self-learning logic analyzes the operational waveforms to look for changes, and finds or predicts fault and degradation events in relation to archived characteristics of earlier waveforms. It then adds characteristics of predictive waveforms to the database of model waveforms, and updates rules and thresholds in the expert logic based on the found predictors. It may further calculate and continuously refine a counteracting signal waveform to minimize the shaft grounding waveform.

Active shaft grounding system with diagnostic waveform analysis

A blade vibration monitor including a self-adjusting sensor gap mechanism is provided. The blade vibration monitor includes a probe configured to be disposed in a mounting hole within a turbine casing of a steam turbine. A proximity sensor is disposed within a tip of the probe producing a signal in response to a turbine blade passing the sensor. A positioning means is used to position a depth of the probe with respect to the mounting hole. A processor processes the signal to determine a gap distance between the probe and the turbine blade. Based on the determined gap distance the processor controls the positioning means to adjust the probe depth relative to the mounting hole in order to set the gap distance in real time to a minimal gap distance. A method for setting a gap distance between a turbine blade tip and a proximity sensor is also provided.

Blade vibration monitor with self adjusting sensor gap mechanism

An online real time steam or gas turbine engine rotor balancing system is incorporated in a rotor balance plane. A selectively displaceable balancing weight is coupled to the rotor and is selectively displaced by a motor that is coupled to the balancing weight. The motor selectively displaces the balancing weight along a displacement path that is in the balance plane. A turbine engine rotor vibration monitoring system monitors rotor vibration in real-time. A control system is coupled to rotor vibration monitoring system and the motor, for determining in real time a desired balance weight displacement position to counteract the monitored rotor vibration. The controller selectively causes the motor to displace the balancing weight to the desired displacement position. The motor power source is an inductive power source or a permanent magnet generator.

Method and apparatus for turbine engine rotor automatic self balancing

A device for streaming magnetic flux data generated by an electrical generator for a power plant. The device includes a flux probe located on the generator to enable detection of a magnetic flux of the generator. The device also includes a computer having an interface, wherein the computer includes an analog-to-digital converter. In addition, the device includes a calibration circuit attached to the flux probe by a first cable and the interface by a second cable. The calibration circuit measures a resistance of the second cable and a voltage of the flux probe wherein ends of the second cable are shorted when measuring the cable resistance and the flux probe voltage. A gain is determined based on the cable resistance and flux probe voltage to provide a suitable input voltage at the interface to deliver the magnetic flux data to the computer.

Magnetic flux probe data streamer for a generator

A device and method for detecting and analyzing faults in a generator stator are disclosed. The device and method include measuring a direct current component of a neutral ground current in a generator stator grounding conductor, analyzing the direct current flow and comparing it with other ground fault indicators, and providing diagnosis and recommended actions based on the analysis. The direct current flow is measured by a sensitive direct current sensor that may also measure AC components via oscillations in the current measurement, such as a Hall Effect sensor, placed on the generator stator grounding conductor. The analysis of the direct current signal includes consideration of the generator operating conditions and environmental conditions, and also includes comparison to historical data representing both normal and abnormal operation of the generator. Alarms and advisories are provided when generator faults are detected or predicted.

Generator neutral ground monitoring device utilizing direct current component measurement and analysis

Fault analysis and detection involving a generator neutral ground includes monitoring a voltage waveform across a neutral grounding transformer of a generator. During monitoring of the voltage waveform a sample of the voltage waveform is acquired. Previously, a number of similar past samples of the monitored waveform were acquired and stored as well. The present sample is compared to one or more of these stored, past samples so that, based on a similarity between the present sample to the past samples, a generator fault indicated by the present sample can be identified. Identifying the generator fault can include recognizing that it is presently occurring or that it may occur in a predictable timeframe. Additionally, identifying a component of the generator that caused, or will cause, the generator fault can be identified as well. A diagnostic message or control signal based on the identified generator fault can then be generated.

Generator neutral ground monitoring system and method

Systems and methods to monitor a signal from an apparatus are disclosed. A feature extracted from the signal is automatically defined. Signals are received over a period of time wherein the apparatus is in a normal operational mode. Features are classified in a learning mode and are applied to create a reference model that defines a within-normal operational mode. In a testing mode a signal generated by the apparatus is received, a feature is extracted and classified. Instantaneous data generated in operational mode by the apparatus is classified by the system as abnormal if it does not lie within boundaries of the reference model or contains information/structure in an orthogonal subspace. A learned reference model is augmented by a user or automatically. In one illustrative example the apparatus is a power generation equipment and the signal is an acoustic signal.

Systems and methods for learning of normal sensor signatures, condition monitoring and diagnosis

Electrical faults are detected in electrical distribution systems (EDS) by detection and location of radio frequency (RF) emissions generated by the fault with multiple time-synchronized radio frequency monitors (RFM) distributed about the EDS. The RFMs are coupled to a self-learning, electrical fault monitor (EFM) that characterizes and/or locates electrical faults based on operating state (OS) patterns learned from transmission of test signals generated within the EDS. RF emissions data samples are characterized as safe operation (SO) states or potential electrical faults by accessing a base of stored knowledge concerning fault emission characteristics and/or synchronized time of arrival at each RFM. Information in the base of stored knowledge is updated to include new EDS operating states (OS). Confidence level associations, location of new radio frequency emission patterns and whether those patterns are indicative of safe operating (SO) conditions or electrical faults are stored in the base of stored knowledge.

Self learning radio frequency monitoring system for identifying and locating faults in electrical distribution systems

A blade vibration monitor backpressure limiting system (BVMBLS), that in addition to direct blade vibration and condenser backpressure monitoring utilizes other plural types of other parallel, real time monitored power plant operation state (OS) information that influences blade vibration. The system references previously stored information in an information storage device that associates respective types of monitored OS information with blade vibration. The BVMBLS determines in real time a likelihood of whether any of the monitored operation states, alone or in combination with other types of monitored operation states, is indicative of a turbine blade vibration safe operation (SO). The BVMBLS determination is utilized to increase or reduce power generation load incrementally so that power efficiency and maximum load is enhanced while turbine blade vibration is maintained in a safe operation state. The previously stored information is updated to new association information.

Steam turbine blade vibration monitor backpressure limiting system and method

An overheating detection processing system monitors in real time and stores data samples from the different types of power plant overheating detectors. The system determines a likelihood of whether a stored detector output sample reading, alone or in combination with other readings, is indicative of monitored power plant equipment overheating. The system references previously stored information in an information storage device that associates respective types of detector sample reading levels with equipment overheating. The system also compares a combination of stored sample readings and establishes overheating determination confidence levels. The confidence levels information is combined to derive an overall confidence level of whether the power plant equipment is overheated. An overheating alarm response is initiated if an overheating condition is determined at any confidence level. Additional responses are made based on a combination of calculated confidence levels.

System and method for detecting electric power plant equipment overheating with real-time plural parallel detection and analysis parameters

A generator stator core through-bolt tensioning device that automatically tightens the nut on the through-bolts that hold together and compress laminate plates of the stator core in a high voltage generator. A controller receives a signal from a measuring device, such as a fiber Bragg grating that measures the strain on the bolt, and based on that signal determines whether the nut needs to be tightened. If the controller determines that tightening is necessary, it will cause the tensioning device to automatically tighten the nut while the generator is in service, and use the measuring device to provide feedback of the tensioning of the through-bolt to know when to stop the device from tightening the nut.

Bolt tightener device for tightening a through-bolt in a generator core

A method is provided for monitoring velocity of a fluid flow through a predetermined fluid flow space. A fiber optic conductor includes a flow measurement portion defining an elongated dimension extending across a portion of the fluid flow space. The fluid flow in the fluid flow space causes the measurement portion of the fiber optic conductor to flex in a direction transverse to the elongated dimension. Optical radiation is supplied to the fiber optic conductor, and optical radiation is received from the fiber optic conductor after the supplied optical radiation has passed through the measurement portion. The received optical radiation is analyzed to effect a determination of a flow velocity of the fluid flow.

Fluid flow velocity and temperature measurement

A system and method for monitoring the condition of a vibration sensor in a system. Vibrations are received in the system at one or more vibration sensors. Sensor data is output by the vibration sensor(s). The sensor data includes data representative of the vibrations in the system and data representative of a natural frequency of the corresponding vibration sensor. The sensor data output from the vibration sensor(s) is monitored, and upon a change in the data representative of the natural frequency of a vibration sensor, that vibration sensor is flagged.

Method for monitoring the condition of a vibration sensor

A digital network quality control system and method utilizing feedback controlled flexible waveform shape for the carrier signal is provided. The system and method provides self-analysis and feedback to a variable waveform to increase network reliability and speed by modifying the shape of the waveform itself based on a self analysis of the waveform.

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Casselberry, FL, United States of America

Edward David Thompson