Adaptive Trend Analysis - A Simple Solution to Data Variability

Abstract

This paper discusses variability problems with oil test data. Simple adaptive trend algorithms can be used to reduce the effect of data variability (from sampling, testing & related maintenance procedures) on trend analysis. The method described reduces the uncertainty in sample interpretation results. Examples are used to emphasize key points.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA347367

Entities

People

  • Larry A. Toms

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Curve Fitting
  • Data Management
  • Data Science
  • Diesel Engines
  • Economic Forecasting
  • Equations
  • Expert Systems
  • Failure Mode And Effect Analysis
  • Information Science
  • Intervals
  • Maintenance
  • Physical Properties
  • Reliability
  • Sampling
  • Standards
  • Statistics

Readers

  • Computational Modeling and Simulation