A method of optimizing the operation of a fleet of gas turbine engines is provided. The method comprises the steps of: (a) measuring respective values for plural control actuator settings within each of the gas turbine engines; (b) deriving, based on data external to the operation of the gas turbine engines, a desired performance modification of the gas turbine engines; (c) determining, based on the measured control actuator settings, one or more respective trim signals for varying selected of the control actuator settings to achieve the desired performance modification; and (d) transmitting the trim signals to respective electronic controllers of the engines to vary the selected control actuator settings accordingly.

A method and a correspondingly configured bending machine are described, wherein a setting of the bending machine is first calculated on the basis of a mathematical model and subsequently corrected on the basis of stored data sets on previous bending operations and their correction values.

A fan control circuit for controlling at least one fan of a power supply device includes a load sensing unit, a temperature sensing unit, a control unit connected to the load sensing unit, the temperature sensing unit and the fan, and a mode switching unit. The load sensing unit generates a load signal according to an output condition of the power supply device. The temperature sensing unit senses the temperature in the power supply device and generates a temperature signal. The control unit comprises a low-speed operating mode for controlling the fan according to the load signal, a mute mode for controlling the fan according to the temperature signal, and a full-speed operating mode for controlling the fan to run in a rated rotational speed. The mode switching unit controls the control unit to adjust the rotational speed of the fan by one of the three modes.

A monitoring and/or control device for an environmental control unit such as a heat pump determines the performance status and whether maintenance is required of a component of the unit for example a compressor during operation of the component. The device includes sensors configured to be situated relative to the compressor so as to receive and signal data from the compressor during operation of the component. In some embodiments, the device includes a vibration detector and a controller coupled to the vibration detector. The controller is configured to (i) receive electrical signals from the vibration detector, (ii) compare the electrical signals to a reference signal, (iii) determine the performance characteristic of the component based on the results of the comparison, and (iv) output a signal corresponding to the performance characteristic of the component to a user display. The controller may also request maintenance and/or order parts automatically.

A method for milking a dairy animal using a milking device with a measuring device for a milk parameter, the method including identifying the dairy animal, determining a milking interval, attaching milking cups to the dairy animal, calculating, according to a first formula, an expected value for the milk parameter, milking the dairy animal, and detaching the milking cup when a first detachment criterion has been met. During the milking step and/or during the detaching step, use is made of the expected value of the milk parameter without determining the actual value of the milk parameter. The actual value is the value of the milk parameter if the milking takes place using a second detachment criterion which is stricter than the first detachment criterion. The method further includes measuring the actual value of the milk parameter for the present milking and updating the first formula.

An HVAC system includes an evaporator. The evaporator includes a sensor configured to measure a property value (i.e., a saturated suction temperature or a saturated suction pressure) associated with saturated refrigerant flowing through the evaporator. The system includes a variable-speed compressor configured to receive the refrigerant and compress the received refrigerant. The system includes a controller communicatively coupled to the sensor and the variable-speed compressor. The controller monitors the property value measured by the sensor and detects a system fault, based on the monitored property value. In response to detecting the system fault, the controller operates the compressor in a freeze-prevention mode, which is configured to maintain the property value above a setpoint value by adjusting a speed of the variable-speed compressor. This prevents or delays freezing of the evaporator during operation of the system during the detected system fault.

A method for controlling operation of a fluid transport system by applying a self-learning control process. The method includes: receiving obtained values of input signals during operation of the system during a first period of time, which is controlled by a predetermined control process, automatically selecting a subset of the input signals based on the received obtained values of the input signals, receiving obtained values of at least the selected subset of input signals during a second period of time, which is controlled by applying the self-learning control process, which is configured to control operation based only on the selected subset of input signals, and wherein applying the self-learning control process includes updating the self-learning control process based on the received obtained values of the selected subset of the input signals and based on at least an approximation of a performance indicator function.

An information processing apparatus includes an n-th parameter adjuster and an (n+1)-th parameter adjuster. The n-th parameter adjuster adjusts an n-th parameter set so that an n-th evaluation value set based on the n-th parameter set approaches an n-th target value set. The (n+1)-th parameter adjuster adjusts an (n+1)-th parameter set so that an (n+1)-th evaluation value set based on the (n+1)-th parameter set approaches an (n+1)-th target value set. In addition, the n-th parameter adjuster acquires, based on initial value set or search value set of the n-th parameter set, an n-th actual measured value set or an n-th predicted value set, acquires an (n+1)-th target value set based on the initial value set or the search value set of the n-th parameter set, and searches for the n-th parameter set that optimizes the (n+1)-th target value set under a restriction that the n-th evaluation value set approaches the n-th target value set using the acquired n-th actual measured value set or the n-th predicted value set and the acquired (n+1)-th target value set.

Provided is a method for controlling a wind turbine, in particular an electric generator of said wind turbine. The method includes an optimization during which a suitable operating parameter for controlling said wind turbine or generator thereof is determined, in particular in an iterative manner. The optimization includes providing a multidimensional space comprising a plurality of parameters; providing an objective function for said multidimensional space, e.g., a simplex has a shape of a triangle or a tetrahedron; and determining one parameter of said multidimensional space as a suitable operating parameter by applying said objective function to said multidimensional space, in particular in an iterative manner. The method includes selecting a suitable operating parameter as an operating parameter for said wind turbine or generator thereof; and operating said wind turbine or generator based on said operating parameter, in particular by controlling a converter connected to said generator.

A method includes sensing a level of ultraviolet radiation in an environment in which an electronic device is present, detecting an environmental condition of the electronic device based upon the sensed level of ultraviolet radiation, and controlling the operation of the electronic device based upon the detected environmental condition. The detected environmental condition may include an indoor condition, outdoor condition, near-window condition, near-door condition, and in-vehicle condition of the electronic device. Controlling the operation of the electronic device based upon the detected environmental condition may include selectively activating and deactivating components of the device based on the detected environmental condition to reduce power consumption of the device.