Abstract:
A method for monitoring a condition of a system or process includes acquiring sensor data from a plurality of sensors disposed within the system (S41 and S44). The acquired sensor data is streamed in real-time to a computer system (S42 and S44). A discriminative framework is applied to the streaming sensor data using the computer system (S43 and S45). The discriminative framework provides a probability value representing a probability that the sensor data is indicative of an anomaly within the system. The discriminative framework is an integration of a Kalman filter with a logistical function (S41).
Abstract:
A thermal power plant, in particular to a steam-electric power plant or a combined cycle power plant (CCPP), and a method for operating a thermal power plant is adapted to accelerate, or to technically and/or economically optimize the start-up of the thermal power plant, in particular to accelerate/optimize a cold-start phase of the thermal power station. The thermal power plant has an auxiliary energy store integrated into the power plant. The store, during the start-up of the thermal power plant, delivers energy for heating/pre-heating components and/or media of the thermal power plant, or supplies an electrical power distribution network.
Abstract:
An apparatus for determining properties of a dust mixture flowing through a cross-sectional area of a coal dust line is provided. It has at least one sensor, which has at least one transmitting device for coupling electromagnetic and/or acoustic radiation into the dust mixture and at least one receiving device for generating a measuring signal on the basis of radiation reflected in the dust mixture or radiation transmitted by the dust mixture. Also provided is an evaluation device, which determines the property of the dust mixture on the basis of the measuring signal. The at least one transmitting device and the at least one receiving device or a measuring head are rotatably arranged at least approximately in the middle of the cross-sectional area.
Abstract:
A method for monitoring a condition of a system or process includes acquiring sensor data from a plurality of sensors disposed within the system (S41 and S44). The acquired sensor data is streamed in real-time to a computer system (S42 and S44). A discriminative framework is applied to the streaming sensor data using the computer system (S43 and S45). The discriminative framework provides a probability value representing a probability that the sensor data is indicative of an anomaly within the system. The discriminative framework is an integration of a Kalman filter with a logistical function (S41).