Patent application number | Description | Published |
20110022214 | Method for Monitoring Operation Behaviour of a Component of an Industrial Plant - A method for monitoring operation behaviour of a component of an industrial plant is provided. Parameter identifiers of operation parameters of the industrial plant are read from an element of a control system of the plant. Some of these parameter identifiers are selected and the selected parameter identifiers are forwarded to an element of the control system. Further, a time of a specified operation of the component is defined and behaviour of the selected parameters of the component in the defined time is used as guide model for monitoring selected parameters of the component during component operation. | 01-27-2011 |
20120304008 | SUPERVISED FAULT LEARNING USING RULE-GENERATED SAMPLES FOR MACHINE CONDITION MONITORING - A machine fault diagnosis system is provided. The system combines a rule-based predictive maintenance strategy with a machine learning system. A simple set of rules defined manually by human experts is used to generate artificial training feature vectors to portray machine fault conditions for which only a few real data points are available. Those artificial training feature vectors are combined with real training feature vectors and the combined set is used to train a supervised pattern recognition algorithm such as support vector machines. The resulting decision boundary closely approximates the underlying real separation boundary between the fault and normal conditions. | 11-29-2012 |
20130332773 | GENERALIZED PATTERN RECOGNITION FOR FAULT DIAGNOSIS IN MACHINE CONDITION MONITORING - A generalized pattern recognition is used to identify faults in machine condition monitoring. Pattern clusters are identified in operating data. A classifier is trained using the pattern clusters in addition to annotated training data. The operating data is also used to cluster the signals in the operating data into signal clusters. Monitored data samples are then classified by evaluating confidence vectors that include substitutions of signals contained in the training data by signals in the same signal clusters as the signals contained in the training data. | 12-12-2013 |
20150142384 | DISCRIMINATIVE HIDDEN KALMAN FILTERS FOR CLASSIFICATION OF STREAMING SENSOR DATA IN CONDITION MONITORING - A method for monitoring a condition of a system or process includes acquiring sensor data from a plurality of sensors disposed within the system (S | 05-21-2015 |
20160003736 | DUST LINE WITH OPTICAL SENSOR, AND METHOD FOR MEASURING THE COMPOSITION OF DUST - An optical sensor is arranged in an indentation of a dust line, the indentation being equipped with at least one gas inlet nozzle for removing the dust from the optical sensor. Dust is transported through the dust line. An optical property of the dust is measured using at least one optical sensor arranged in an indentation of the dust line, and the dust is then removed from the optical sensor by blowing in air using the at least one gas inlet nozzle arranged in the indentation. | 01-07-2016 |
20160003789 | SENSOR APPARATUS FOR ANALYZING A GAS MIXTURE IN A PROCESS CHAMBER - A sensor apparatus for analyzing a gas in a process chamber, having a housing, a gas sensor for analyzing at least a part of the gas, the gas sensor being arranged at a determined position in the housing, a gas feed for connecting the housing to the process chamber to feed the part of the gas from the process chamber into the housing and to the determined position, and a gas discharge for discharging the gas from the housing, wherein the gas feed and the gas discharge are configured as tubes lying inside one another, characterized by a closure cap at the combustion chamber-side end of the tubes lying inside one another, the closure cap including an even number of at least four openings with the same area, which are connected alternately as a gas inlet and a gas outlet to the tubes lying inside one another is provided. | 01-07-2016 |
20160069822 | METHOD AND DEVICE FOR DETERMINING AT LEAST ONE CONCENTRATION OF COAL PARTICLES IN A GAS FLOW - The present embodiments relate to a device and a method for determining at least one concentration of coal particles in a gas flow flowing through a channel, wherein at least part of the gas flow having coal particles contained therein is measured by at least one microwave sensor and at least one measurement signal characterizing the concentration of the coal particles is provided, wherein an autocorrelation function of the measurement signal is determined and at least one distance value characterizing a distance of a point of the gas flow belonging to the concentration from the microwave sensor is determined in dependence on the autocorrelation function. | 03-10-2016 |