Abstract: A method and system for generating an XML-based fault model for fault case analysis, i.e., fault events in industrial plants includes a data entry device connected to a word processor belonging to a data processor having access to a template memory and being connected to a first fault model memory, by which measures the data entry device is set up for data entry for compiling a fault model as a Word document and for storing the document in the model memory, a translator accessing the model memory and connected to a schematic memory storing XML types produced by transferring a template in the template memory into XML types, a second fault model memory storing XML instances produced by translating the document, and an XML engine accessing the schematic memory and the second memory and displaying an XML-based fault model stored therein through a display device and a web browser.

Abstract: A system and method for supporting a fault cause analysis in a afault event in a plant includes a data processor with memory storing a fault model of XML files accessed by a fault cause navigator and an operating/display device. Each fault model contains an industry-specific process model divided into process steps, with steps and defined fault events needed therefor assigned to plant components/systems, and fault trees assigned to fault events and having fault hypotheses. A checklist with symptoms for verification of the fault hypothesis is assigned to the fault hypotheses. The system enables navigation to the relevant step in the process model by the display and navigator, and presents a fault event list. Following fault event selection, critical components/systems corresponding thereto are found and displayed. Possible symptoms are generated and displayed in a checklist and hypotheses of possible fault causes, contained in the fault trees, are found and displayed.

Abstract: A method is described for the automated determination of fault events by evaluation of field data of a production installation within a system for determining the effectiveness (overall equipment effectiveness (OEE)) of the production installation and for the analysis of causes of faults. The determination of the fault events takes place using a data processing device and programs stored in it for carrying out the functions of a fault event detector and an OEE script configurer. The OEE script configurer accesses a prescribed productivity model specific to a production installation type, generates an OEE script with likewise prescribed configuration data taken into account and stores it in an OEE script memory. The fault event detector accesses the OEE script, calls up field data from a data server, derives fault events from the field data according to processing instructions of the OEE script, and stores them in a fault database.

Abstract: A method for automated generation of an extended fault tree structure adapted to a production installation or a specific installation is used within a system determining the effectiveness and analyzing causes of faults. Generation takes place using a data processor and stored programs for carrying out functions of a hypothesis verifier, a fault data classifier, and a hypothesis configurer, and also based upon a prescribed general hierarchical fault tree structure produced by accessing data of a data server with the verifier, from which it derives fault events according to execution requirements of the verification script and stores these fault events, possibly together with previously entered fault events, in a fault database. At prescribable time intervals, the classifier carries out classification of the fault events by accessing the database, maps them as weighted causes of faults onto the tree structure, and displays or outputs the tree structure so extended.

Abstract: A method and system for generating an XML-based fault model for fault case analysis, i.e., fault events in industrial plants includes a data entry device connected to a word processor belonging to a data processor having access to a template memory and being connected to a first fault model memory, by which measures the data entry device is set up for data entry for compiling a fault model as a Word document and for storing the document in the model memory, a translator accessing the model memory and connected to a schematic memory storing XML types produced by transferring a template in the template memory into XML types, a second fault model memory storing XML instances produced by translating the document, and an XML engine accessing the schematic memory and the second memory and displaying an XML-based fault model stored therein through a display device and a web browser.

Abstract: A method and a system are described for determining the effectiveness of production installations, significant fault events that bring about deviations from a desired effectiveness and the causes of fault events. The production installation is connected to a data acquisition device, which is set up for continuous acquisition and ready-to-call-up storage of installation and production-related data. A service device is connected to the data acquisition device and has an input device for the input of additional installation and production-related descriptive data that cannot be called up from the data acquisition device. An online system part is set up for calling up installation and production-related data from the data acquisition device, calculating the effectiveness, detecting fault events, determining significant fault events by fault event evaluation, and determining in each case the causes of faults. An offline system part is provided and contains a number of generic fault models and assessment models.

Abstract: A system and method for supporting a fault cause analysis in a fault event in a plant includes a data processor with memory storing a fault model of XML files accessed by a fault cause navigator and an operating/display device. Each fault model contains an industry-specific process model divided into process steps, with steps and defined fault events needed therefor assigned to plant components/systems, and fault trees assigned to fault events and having fault hypotheses. A checklist with symptoms for verification of the fault hypothesis is assigned to the fault hypotheses. The system enables navigation to the relevant step in the process model by the display and navigator, and presents a fault event list. Following fault event selection, critical components/systems corresponding thereto are found and displayed. Possible symptoms are generated and displayed in a checklist and hypotheses of possible fault causes, contained in the fault trees, are found and displayed.

Abstract: A method for automated generation of an extended fault tree structure adapted to a production installation or a specific installation is used within a system determining the effectiveness and analyzing causes of faults. Generation takes place using a data processor and stored programs for carrying out functions of a hypothesis verifier, a fault data classifier, and a hypothesis configurer, and also based upon a prescribed general hierarchical fault tree structure produced by accessing data of a data server with the verifier, from which it derives fault events according to execution requirements of the verification script and stores these fault events, possibly together with previously entered fault events, in a fault database. At prescribable time intervals, the classifier carries out classification of the fault events by accessing the database, maps them as weighted causes of faults onto the tree structure, and displays or outputs the tree structure so extended.

Abstract: A method is described for the automated determination of fault events by evaluation of field data of a production installation within a system for determining the effectiveness (overall equipment effectiveness (OEE)) of the production installation and for the analysis of causes of faults. The determination of the fault events takes place using a data processing device and programs stored in it for carrying out the functions of a fault event detector and an OEE script configurer. The OEE script configurer accesses a prescribed productivity model specific to a production installation type, generates an OEE script with likewise prescribed configuration data taken into account and stores it in an OEE script memory. The fault event detector accesses the OEE script, calls up field data from a data server, derives fault events from the field data according to processing instructions of the OEE script, and stores them in a fault database.

Abstract: A method and a system are described for determining the effectiveness of production installations, significant fault events that bring about deviations from a desired effectiveness and the causes of fault events. The production installation is connected to a data acquisition device, which is set up for continuous acquisition and ready-to-call-up storage of installation and production-related data. A service device is connected to the data acquisition device and has an input device for the input of additional installation and production-related descriptive data that cannot be called up from the data acquisition device. An online system part is set up for calling up installation and production-related data from the data acquisition device, calculating the effectiveness, detecting fault events, determining significant fault events by fault event evaluation, and determining in each case the causes of faults. An offline system part is provided and contains a number of generic fault models and assessment models.