"DTIC ADA202089: Machinery Diagnostics Via Mechanical Vibration Analysis Using Spectral Analysis Techniques" - Information and Links:

DTIC ADA202089: Machinery Diagnostics Via Mechanical Vibration Analysis Using Spectral Analysis Techniques - Info and Reading Options

"DTIC ADA202089: Machinery Diagnostics Via Mechanical Vibration Analysis Using Spectral Analysis Techniques" and the language of the book is English.


“DTIC ADA202089: Machinery Diagnostics Via Mechanical Vibration Analysis Using Spectral Analysis Techniques” Metadata:

  • Title: ➤  DTIC ADA202089: Machinery Diagnostics Via Mechanical Vibration Analysis Using Spectral Analysis Techniques
  • Author: ➤  
  • Language: English

Edition Identifiers:

  • Internet Archive ID: DTIC_ADA202089

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"DTIC ADA202089: Machinery Diagnostics Via Mechanical Vibration Analysis Using Spectral Analysis Techniques" Description:

The Internet Archive:

Mechanical vibration analysis affords a reliable means to selectively identify specific machinery faults. As such, it plays a key role in diagnostic work on individual units and in progressive maintenance monitoring programs where substantial diagnostic and prognostic capabilities are considered essential. A physical machinery diagnostics model was developed that was designed to incorporate some of the more common machinery faults found in rotating machinery relating to shaft, bearing, gear, and alignment defects. The results of spectral analysis techniques used to detect these simulated faults are displayed and discussed, with special emphasis on gear train diagnostics. Also included are a description of one of the current U.S. Navy machinery vibration monitoring programs, and an initial study regarding a proposed technique for providing a graphic display of gear faults. Keywords: Vibrations, Signal analysis, Machinery diagnostics, Theses. (MJM)

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  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
  • All Files are Available: Yes
  • Number of Files: 16
  • Number of Available Files: 16
  • Added Date: 2018-02-21 19:04:47
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