Abstract: A degradation monitoring system including: a machine; a sensor affixed to the machine, the sensors measuring a operational parameters of the machine; a set of filters receptive of information about the machine from the sensors and the filters responsively generate status signals; and comparators for comparing the status signals to stored signals, wherein the comparators indicate at least one of a presence of degradation of the machine, or a cause of degradation of the machine.

Abstract: Systems and methods for steam turbine remote monitoring, calculating corrected efficiency, monitoring performance degradation, diagnosing and benchmarking are disclosed with an example turbine system including a turbine, a data acquisition device coupled to the turbine, the data acquisition device for collecting turbine data that includes performance parameters of the turbine and a central monitoring system coupled to the data acquisition device, the central monitoring system for receiving the collected turbine data and processing the turbine data to determine turbine performance.

Abstract: An embodiment of the disclosed method and apparatus relates to a system for detecting a rub in a turbomachine. The system includes a turbomachine; sensors monitoring turbomachine conditions; and an on site monitor in communication with the sensors, and loaded with instructions to implement a method for detecting a rub in the turbomachine.

Abstract: Systems and methods for multi-level optimization of emission levels and efficiency for a boiler system that includes creating both boiler-level models and burner-level models and receiving a plurality of boiler-level system variables. The received system variables are used along with boiler system constraints to optimize boiler-level setpoints. Once the boiler-level setpoints have been optimized they are sent to the burner level of a hierarchical control system, where they are used to optimize burner-level setpoints. Once the burner-level setpoints have been optimized they are sent to the burner control loops of the plant control system to be implemented.

Abstract: A method of detecting water induction in a steam turbine that may include the steps of: measuring the temperature of one of the steam lines of the steam turbine at regular intervals; recording the temperature measurements; and determining, from the recorded temperature measurements, whether there has been a sharp decrease followed by a gradual rise in the temperature of the steam line. The method further may include the steps of calculating the rate of change of the decrease in temperature of the steam line and the rate of change of the increase in temperature of the steam line. The sharp decrease followed by a gradual rise in the temperature of the steam line may include a decrease in temperature followed by an increase in temperature wherein the rate of change of the decrease in temperature exceeds the rate of change of the rise in temperature.

Abstract: A method for operating a rotary machine is provided. The rotary machine includes a stationary member and a rotatable member wherein the rotatable member is configured to rotate at least partially within the stationary member. The method includes determining an off-normal operating condition of the rotary machine facilitating undesirable contact between the rotatable member and the stationary member, monitoring a parameter associated with the off-normal operating condition, and preventing operation of the rotary machine while the monitored parameter is within a predetermined range.

Abstract: A method for determining efficiency of an installed steam turbine includes estimating, at a first plurality of times, a first mean value and a first variance of at least one performance variable of the steam turbine utilizing a set of station sensors. The method further includes estimating, at a second plurality of times including times encompassing at least some of the first plurality of times, a second mean value and a second variance of the at least one performance variable utilizing a different set of sensors, wherein the different set of sensors includes precision sensors. A mapping function is determined between the first mean values and the second mean values using the first mean values, the first variances, the second mean values, and the second variances.

Abstract: The present invention provides methods and tools to aggregate information stemming from a plurality of different classification tools and supportive evidential information to arrive at a unified classification estimate. The information fusion system according to the present invention has a plurality of sensors associated with the system, where each sensor is related to at least one class of the system and is data-related to the at least one class. A plurality of classification tools are each designed to receive selected and pre-processed outputs from the sensors and to generate classification outputs representing a state of at least one class of the system. An information fusion tool is configured to receive the outputs of the classification tools as well as evidential information as inputs, and has an hierarchical architecture which manipulates the inputs to generate an output of aggregated fused information for a particular class of the system.

Abstract: A system for automatically controlling the temperature of the cooking surface of a cooking surface of a solid-surface cooktop and, consequently, the temperature of the cooking utensil on the cooking surface, by detecting cooking utensil-related properties through the solid-surface cooktop. The cooking utensil-related properties include presence/absence, removal/placement, and other physical properties such as utensil type, size, warpage, and temperature and load size. Automatic control is based on monitoring the heat transfer characteristics from the energy source to the cooktop and the utensil to infer the utensil properties. This is achieved by sensing or inferring a parameter indicative of the temperature of a monitored area that includes at least a portion of the cooktop or of the cooking utensil placed on the upper surface of a cooktop, as well as a parameter indicative of power applied to a controllable heat source, and detecting signal properties using an evolutionary algorithm.

Abstract: A cooking range with an acoustic sensing system for determining the boil state of the contents of a cooking utensil. The acoustic sensing system, which includes at least one acoustic sensor, is positioned on or in the cooking appliance to detect acoustic emissions in one or more specific ranges of frequencies that are characteristic of emissions resulting from the heating and boiling of liquids in a variety of cooking utensils or vessels.

Abstract: A system and method for sensing the dryness of clothing articles in a clothes dryer. In one embodiment, the clothes dryer uses a temperature sensor and a phase angle sensor to determine the dryness of the clothing articles as a function of the heated air temperature and the motor phase angle. In another embodiment the clothes dryer uses a humidity sensor to determine the dryness of the clothing articles as a function of the humidity of the heated air temperature. In a third embodiment the clothes dryer uses a temperature sensor, a phase angle sensor, and a humidity sensor to determine the dryness of the clothing articles as a function of the heated air temperature, the motor phase angle, and the humidity of the heated air temperature.

Abstract: A temperature sensor system for a household appliance, such as a microwave oven, that provides for a non-contact self-calibrating measurement of the temperature of an object disposed in a chamber of the appliance. The system comprises an infrared transmitter and an infrared receiver, as well as a distribution apparatus for coupling the transmitter and receiver to the appliance chamber. A scan pattern of infrared radiation is provided for the chamber and the detected infrared radiation from the chamber is used by a processor to generate an accurate measure of the temperature of the object in the chamber.

Abstract: A clothes dryer includes a control system for determining the drying time for a partial load in a clothes dryer. The system includes a humidity sensor, a signal processor, and a fuzzy logic control system. The humidity sensor generates a humidity signal representative of the humidity of air flowing through the trap duct. The humidity sensor transmits the humidity signal to the signal processor, and the signal processor determines a drying span utilizing the humidity signal. The fuzzy logic control system then utilizes the drying span to estimate the clothes load.

Abstract: A monitoring and control system for monitoring the boil states of the contents of a cooking utensil located on a cooking surface of a cooktop, indicating the state to a user, and controlling the energy applied to the cooking surface, which may be a glass ceramic. The system includes at least one controllable heat source located below the lower surface of the cooktop so as to heat the cooktop and cooking utensil, at least one sensor located in proximity to the cooktop, which senses the temperature of at least one of the cooktop and the cooking utensil, at least one power indicative signal, and a signal processing device receiving a temperature signal from the sensor, and the power indicative signal. The signal issued by the sensor is representative of the temperature of either the cooktop, or the cooking utensil.

Abstract: The present invention provides a method of determining the boil states of a liquid as measured by an acoustic sensor which measures the acoustic signal generated by the liquid as it is heated. The acoustic signal is smoothed and a first derivative of the acoustic signal is calculated. Also the frequency of the acoustic signal is measured. Derivative inflection points, zero slope points, and acoustic signal frequencies are utilized to determine the pre-simmer, simmer, pre-boil, boil, boil dry, and boil over states of the liquid.

Abstract: A system and method for predicting the dryness of clothing articles in a clothes dryer. In one embodiment, the clothes dryer uses a temperature sensor, a phase angle sensor, and a humidity sensor to generate signal representations of the temperature of the clothing articles, the motor phase angle, and the humidity of the heated air in the duct, respectively. A controller receives the signal representations and determines a feature vector. A neural network uses the feature vector to predict a percentage of moisture content and a degree of dryness of the clothing articles in the clothes dryer. In another embodiment, the clothes dryer uses a combination of sensors to predict a percentage of moisture content and a degree of dryness of the clothing articles.

Abstract: A clothes load estimation method for a clothes washer, and a washing machine having a controller for controlling at least one operating condition for a clothes washer, are provided, in which a value of an inertia (I.sub.c) of the clothes load is determined in accordance with a relationship to a sensed basket acceleration (.alpha..sub.o) and a sensed motor phase angle (.phi..sub.m). The relationship is based on and derived from a dynamic modeling of a motor/inner clutch subsystem, an outer clutch, subsystem, a belt subsystem, and a washer basket/clothes load subsystem. The method and apparatus require only low cost motor phase sensors and either velocity or position sensors in controlling the washer operating condition.

Abstract: This invention provides a system and method for determining a level of liquid to be supplied for a wash cycle operation in a washing machine given a clothes load and clothes type. The liquid level setting is determined by measuring the time to fill the washer basket and the washer tub with a predetermined initial level of liquid, measuring a change in the level of liquid in the tub and basket after soaking for a predetermined time, and applying a fuzzy logic algorithm to the measured values.

Abstract: A household appliance includes a supervisory level controller for controlling operation of the appliance in accordance with operator-determined performance objectives. The supervisory level controller includes a disturbance parameter estimator coupled to receive appliance condition signals from sensor systems on the appliance for processing the signals to generate estimated appliance operating states; a sequential sensor integrator for generating a temporally-integrated estimated appliance operating state signal; and an optimizer coupled to the sensor systems and the sequential sensor integrator to receive signals therefrom and process those signals in accordance with a fuzzy logic architecture to generate control signals for application to actuator systems of the appliance in correspondence with operator-determined performance objectives.

Abstract: The present invention discloses a system and method for predicting the dryness of clothing articles in a clothes dryer 10. In one embodiment of this invention, the clothes dryer 10 uses a temperature sensor 52, a phase angle sensor 54, and a humidity sensor 56 to generate signal representations of the temperature of the clothing articles, the motor phase angle, and the humidity of the heated air in the duct, respectively. A controller 58 receives the signal representations and determines a feature vector. A neural network 168 uses the feature vector to predict a percentage of moisture content and a degree of dryness of the clothing articles in the clothes dryer 10. In another embodiment of this invention, the clothes dryer uses a combination of sensors to predicts a percentage of moisture content and a degree of dryness of the clothing articles.