Dynamic Across-Time Measurement Interpretation: Maintaining Qualitative Understandings of Physical System Behavior

Abstract

Incrementally maintaining a qualitative understanding of physical system behavior based on observations is crucial to real-time process monitoring, control, and diagnosis . This paper describes the DATMI theory for dynamically maintaining a pinterp-space, a concise representation of local and global interpretations consistent with the observations over time. Each interpretation signifies alternative paths of states in a qualitative envisionment . Representing a space of interpretations, instead of just a "current best" one, avoids the need for extensive backtracking to handle incomplete or faulty data. Domain-specific knowledge about state and transition probabilities can be used to maintain the best working interpretation as well. Domain-specific knowledge about durations of states and paths of states can also be used to further constrain the interpretation space. When all these constraints lead to inconsistencies, faulty-data hypotheses are generated and then tested by adjusting the pinterp-space. The time and space complexity of maintaining the pinterp-space is polynomial in the number of measurements and envisionment states.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1990
Accession Number
ADA466425

Entities

People

  • Dennis M. Decoste

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Causal Reasoning
  • Computer Science
  • Data Acquisition
  • Indicator Lights
  • Measurement
  • Measuring Instruments
  • Pattern Recognition
  • Probability
  • Probability Distributions
  • Reasoning
  • Recognition
  • Simulations
  • Time Intervals
  • Water Flow

Readers

  • Artificial Intelligence

Technology Areas

  • Space