Abb Research Ltd.

Manuel Greulich

Gerhard Vollmar

Jari Kallela

Zaijun Hu

Raiko Milanovic

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.

System and method for generating an XML-based fault model

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.

System and method for supporting a fault cause analysis

A system for determining fault causes, including automated determination of hypotheses in the context of a fault cause analysis and automated performance of hypotheses verification, has a data processing device connected to a data input and visualization device and to a data memory. The data processing device contains a processing unit for fault cause analysis, a first comparator, a second comparator and a hypothesis selector. The data memory contains a general fault model, a fault event list, an empirical database and a storage area to store a log of the current fault cause analysis. The data processing device, following the selection of a fault event from the displayed fault event list by a user, to display to the latter hypotheses suggested by the system, following the selection of hypotheses to be verified, to carry out hypotheses verification and, as the result, to log and display determined fault causes.

System for determining fault causes

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.

Growing community of inventors

Oberwolfach, Germany

Manuel Greulich