Managing Fleet Wide Sensory Data: Lessons Learned in Dealing with Volume, Velocity, Variety, Veracity, Value and Visibility

Abstract

More than ever, asset operators and OEMs are investing in fleetwide monitoring systems. With the roll out of these monitoring systems, huge amounts of sensory data are generated. In a single Giga watt power plant, asset monitoring systems sort through terabytes of sensory data per week. To contend with the volume and velocity of sensory data, analytics and data management techniques are employed along the life of sensory data from digitization at the asset, to storage in the information technology infrastructure. This paper presents techniques, both promising and fielded, for analytics to manage the volume, velocity, veracity, variety, and value of fleetwide asset monitoring data yielding opportunities for advanced visibility of actionable information.

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Document Details

Document Type
Technical Report
Publication Date
Oct 02, 2014
Accession Number
AD1002747

Entities

People

  • Preston Johnson

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Big Data
  • Computers
  • Data Acquisition
  • Data Analysis
  • Data Management
  • Data Mining
  • Data Science
  • Electrical Engineering
  • Failure Mode And Effect Analysis
  • Information Systems
  • Infrastructure
  • Machine Learning
  • Measurement
  • Monitoring
  • Network Science
  • Pattern Recognition
  • Supervised Machine Learning

Readers

  • Distributed Systems and Data Platform Development
  • Software Engineering.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.