NormNet® PHM White Papers
and Downloads
FTI exhibited at the recent Navy Opportunity Forum in Crystal City, VA. A presentation accompanied the exhibit and described the current state and future direction of FTI's data-derived health state analysis and fault isolation technology. If you would like a copy of the presentation or additional information on NormNet® PHM contact Nick Frankle, Director of Systems Health Management.
Mr. Joel Luna of FTI addressed "Strategies For Optimizing The Application Of Prognostic Health Management To Complex Systems". This paper explores the challenges and needs of efforts to implement PHM technologies. In particular, this paper identifies and discusses the need for decision support to help characterize the potential impacts of PHM technologies on existing operational and support scenarios, and how to implement those PHM technologies on complex systems in a resource constrained environment.
Dr. Chris Cooper recently presented a paper jointly authored by FTI and Caterpillar, Inc. entitled " Detection of Mobile Machine Damage Using Accelerometer Data and Prognostic Health Monitoring Techniques" Robust detection of mechanical damage in a wheel loader has been demonstrated via processing of high-speed, three-axis accelerometer data. Data FTI’s Pattern Recognition of Health (PRoH ®) technology drives the signature generation and abnormality detection process through the use of data-driven techniques that estimate deviation from normal behavior.
Mr. Nick Frankle described the Pattern Recognition of Health (PRoH®) paradigm entitled: "Pattern Recognition of Health -- Data Derived Prognostic Health Managemet" Management." PRoH® is a data-derived solution combining pattern recognition algorithms with principles from statistics and signal-processing to create models of expected system performance using available sensors and data sources. PRoH® applies these models to determine and report system health states. In the presence of degrading or unexpected conditions, PRoH® creates fault mode signatures that identify failure modes and corrective action. PRoH® has been designed to overcome obstacles inhibiting application of PHM technology.
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