Abstract: The invention makes use of human perception to derive potential faults of at least one component of the technical installation. A sensor device may be employed for acquiring at least one human physiological reaction whereby said human physiological reaction may include at least one of neuritic currents and changes in neuritic currents and blood pressure and changes in blood pressure and pulse rate and changes in pulse rate and pulse strength and changes in pulse strength and galvanic skin reflex and changes in galvanic skin reflex and breathing patterns.

Abstract: A method and apparatus for determining wear and tear in machines includes a method that determines a voltage draw and/or a current draw of a first subsystem of the machine during its operation, and wear and tear present in a second machine subsystem is determined based on the draw determined in the first subsystem. In one embodiment, a coal grinding machine includes a drive, a coal grinding mill driven by the drive, a device for determining an electrical draw of a current and/or voltage draw of the drive during operation, and a device for inferring wear and tear present in the coal grinding mill on the basis of voltage and/or current draw determined in the drive. The machine can include a device for inferring the quality or type of material (like coal) being processed in the mill based on the draw determined in the drive.

Abstract: A specific failure occurring during operation of a technical installation is detected by acquiring an acoustic and/or optical signal emitted by a device assigned to at least one component of the technical installation whereby the device is being activated mechanically.

Abstract: A method and apparatus for determining wear and tear in machines includes a method that determines a voltage draw and/or a current draw of a first subsystem of the machine during its operation, and wear and tear present in a second machine subsystem is determined based on the draw determined in the first subsystem. In one embodiment, a coal grinding machine includes a drive, a coal grinding mill driven by the drive, a device for determining an electrical draw of a current and/or voltage draw of the drive during operation, and a device for inferring wear and tear present in the coal grinding mill on the basis of voltage and/or current draw determined in the drive. The machine can include a device for inferring the quality or type of material (like coal) being processed in the mill based on the draw determined in the drive.

Abstract: The invention relates to a method for the operation of a technical system wherein working parameters are detected during a certain period of time. An operational mode and/or functional mode of the technical system are determined by the temporal behavior of said operational parameters, using artificial intelligence methods.

Abstract: The invention concerns a method and a corresponding device for monitoring a technical installation. The invention is characterized in that a dynamic model of at least one system of the technical installation is enhanced by means of an artificial intelligence based algorithm during the operation of said system.

Abstract: According to the invention, a temperature pattern representing a current operating situation is derived from and classified by means of measured temperature values and/or other temperature information related to the technical installation.

Abstract: The invention makes use of human perception to derive potential faults of at least one component of the technical installation. A sensor device may be employed for acquiring at least one human physiological reaction whereby said human physiological reaction may include at least one of neuritic currents and changes in neuritic currents and blood pressure and changes in blood pressure and pulse rate and changes in pulse rate and pulse strength and changes in pulse strength and galvanic skin reflex and changes in galvanic skin reflex and breathing patterns.

Abstract: A specific failure occurring during operation of a technical installation is detected by acquiring an acoustic and/or optical signal emitted by a device assigned to at least one component of the technical installation whereby the device is being activated mechanically.

Abstract: The process control system includes at least one master computer, at least one master system bus and at least one communication network, where the communications network is physically decoupled from the master system bus. The master computer is connected both to the master system bus and to the communications network and enables data exchange between the systems using Internet browser technology. At least one technical facility that is to be controlled can thus be advantageously controlled both by the master computer and by at least one computer connected to the communications network.

Abstract: According to the invention, a process control system comprises an image representation system (7) with which a process image may be distributed across several display devices (9). Said image representation system (7) comprises a graphic adapter (12), modified for determining the distribution of the process image on the display devices (9) in a internal memory (S) on the graphic adapter and to control the display devices (9) for display of the process image with the corresponding process image distribution data for each of the above.

Abstract: The process control system (5) according to the invention comprises at least one master computer (7), at least one master system bus (9,10) and at least one communications network (11), wherein the communications network (11) is physically decoupled from the master system bus (9,10). The master computer (7) is connected both to the master system bus (9,10) and to the communications network (11) and enables data exchange between said systems using Internet browser technology (70). At least one technical facility that is to be controlled can thus be advantageously controlled both by the master computer (7) and by at least one computer (47) connected to the communications network.