• DocumentCode
    985070
  • Title

    A multiple DSP environment for on-line signature analysis of plant instrumentation

  • Author

    Hassapis, G.D.

  • Author_Institution
    Dept. of Electr. Eng., Aristotelian Univ., Thessaloniki
  • Volume
    39
  • Issue
    1
  • fYear
    1990
  • fDate
    2/1/1990 12:00:00 AM
  • Firstpage
    126
  • Lastpage
    128
  • Abstract
    It is shown that a typical multiprocessor architecture with four digital signal processors (DSPs) can be used to identify more than one faulty sensor within the time limits imposed by the response time of the process control loops in which the sensors belong. This is achieved through a heuristic algorithm, running on a host computer and assigning to the four processors in a suboptimal way the algorithms used to detect the faulty sensors. Testing of the heuristic algorithm has been made possible by simulating on a computer the operation of the multiprocessing system. If this system is properly programmed, it can detect faulty sensors in a large number of process control loops before the next update of the output of each control loop occurs. Thus the respective controllers can avoid using the data supplied by the faulty sensor and instead can use a known output signal value which will drive the process to a safe state. The program execution time requirements can be met if the individual program routines are properly allocated to the four processors. A heuristic algorithm has been developed to carry out this allocation
  • Keywords
    automatic test equipment; automatic testing; computer architecture; computerised signal processing; multiprocessing systems; optimal control; process computer control; computerised signal processing; digital signal processors; faulty sensor; heuristic algorithm; multiple DSP environment; multiprocessing system; multiprocessor architecture; online signature analysis; plant instrumentation; process control loops; response time; suboptimal; Computer architecture; Delay; Digital signal processing; Digital signal processors; Fault detection; Fault diagnosis; Heuristic algorithms; Process control; Signal processing algorithms; System testing;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.50430
  • Filename
    50430