An approach for fault detection and isolation in dynamic systems from distributed measurements

Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN
IEEE Transactions on Instrumentation and Measurement (Impact Factor: 1.79). 05/2002; 51(2):235 - 240. DOI: 10.1109/19.997818
Source: IEEE Xplore


An application is presented for online model-based fault detection
and isolation (FDI) in a multitank fluid system. The tank system is
equipped with a distributed measurement and control system that
implements components of the IEEE standard for smart transducers, IEEE
1451. This standard includes an information model that provides
programming constructs to support high level application functionality
on a distributed network of smart transducers. The model-based FDI
methodology in this work has several aspects that may be realized on
such a distributed network. In the current work, the FDI application
operates on a workstation that appears on the network as another
(virtual) transducer node. The concurrent tasks in the application may
be associated with actual transducer nodes. It represents a first effort
toward constructing capabilities for distributed FDI in complex dynamic

Download full-text


Available from: Gautam Biswas, Nov 08, 2013
  • Source

    Full-text · Article · · EURASIP Journal on Embedded Systems
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper artificial neural networks (ANNs) are applied to diagnosis of soft and catastrophic defects in a nonlinear analog circuit. In fact, today the technical diagnosis is great challenge for design engineers because the diagnostic problem is generally underdeterminate. The diagnosis methods are based mostly on proprietary knowledge and personal experience, although they are built into integrated diagnostic equipment. ANN approach is proposed here as an alternative to existing solutions, based on the fact that ANNs are expected to encompass all phases of the diagnostic process. The approach is demonstrated on the example of an integrated operational amplifier, and the generalization property is shown by supplying noisy data to ANN's inputs during diagnosis.
    Preview · Article ·
  • [Show abstract] [Hide abstract]
    ABSTRACT: As vehicles become intelligent for the convenience and safety of drivers, in-vehicle networking (IVN) systems and smart modules are essential components of intelligent vehicles. However, there are obstacles for the wide acceptance of smart modules. First, there exist numerous IVN protocols that a smart module should be able to support. Second, the whole smart module has to be replaced when only the sensor of the module fails. In order to overcome these obstacles, a smart module is implemented as two units; one responsible for network communication and the other for sensor/actuator operations. In addition, the modules use an interface between the two units as defined by the IEEE 1451 standard. This paper presents a design of the smart module based on the IEEE 1451 standard along with the experimental evaluation for time delays.
    No preview · Article · Jan 2005 · IEEE Transactions on Industrial Electronics
Show more