Recent Study on Failure Diagnosis and Prognosis of Sliding Bearings

2021 ◽  
pp. 10-25
Author(s):  
R. Antunovic ◽  
N. Vucetic ◽  
A. Halep
Keyword(s):  
Failure Diagnosis ◽  
Sliding Bearings ◽  
Diagnosis And Prognosis

scholarly journals Failure diagnosis and prognosis of sliding bearings

2019 ◽  
Vol 659 ◽  
pp. 012018
Author(s):  
R Antunovic ◽  
N Vučetić ◽  
A Halep
Keyword(s):  
Failure Diagnosis ◽  
Sliding Bearings ◽  
Diagnosis And Prognosis

Signal processing and neural network toolbox and its application to failure diagnosis and prognosis

2001 ◽  
Author(s):  
Fang Tu ◽  
Fang Wen ◽  
Peter K. Willett ◽  
Krishna R. Pattipati ◽  
Eric H. Jordan
Keyword(s):  
Neural Network ◽  
Signal Processing ◽  
Failure Diagnosis ◽  
Diagnosis And Prognosis ◽  
Neural Network Toolbox

Improved reliability-based decision support methodology applicable in system-level failure diagnosis and prognosis

2014 ◽  
Vol 50 (4) ◽  
pp. 2630-2641 ◽  
Author(s):  
Byoung Kim ◽  
Douglas Goodman ◽  
Mingyang Li ◽  
Jian Liu ◽  
Jing Li
Keyword(s):  
Decision Support ◽  
Failure Diagnosis ◽  
System Level ◽  
Diagnosis And Prognosis

scholarly journals Diagnosis of Composite Materials in Aircraft Applications–Brief Survey of Recent Literature

2020 ◽  
Author(s):  
Muflih Alhammad ◽  
Luca Zanotti Fragonara ◽  
Nicolas P Avdelidis
Keyword(s):  
Composite Materials ◽  
Industrial Development ◽  
Failure Diagnosis ◽  
Diagnostic Tools ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Diagnosis And Prognosis ◽  
Early Implementation ◽  
Further Development ◽  
Non Destructive

Diagnosis and prognosis of failures for aircrafts’ integrity are some of the most important regular functionalities in complex and safety-critical aircraft structures. Further, development of failure diagnostic tools such as Non-Destructive Testing (NDT) techniques, in particular, for aircraft composite materials, has been seen as a subject of intensive research over the last decades. The need for diagnostic and prognostic tools for composite materials in aircraft applications rises and draws increasing attention. Yet, there is still an ongoing need for developing new failure diagnostic tools to respond to the rapid industrial development and complex machine design. Such tools will ease the early detection and isolation of developing defects and the prediction of damages propagation; thus allowing for early implementation of preventive maintenance and serve as a countermeasure to the potential of catastrophic failure. In this paper, following a short introductory summary and definitions, this paper provides a brief literature review of recent research on failure diagnosis of composite materials with an emphasis on the use of NDT techniques in aerospace industry. In addition to this, within a some of significant NDT application extents, prognosis of composites is also briefly discussed.

scholarly journals Vibration Analysis Based on HJ-Biplots

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Valter Vairinhos ◽  
Rui Parreira ◽  
Suzana Lampreia ◽  
Vitor Lobo ◽  
Purificación Galindo
Keyword(s):  
Data Analysis ◽  
Vibration Analysis ◽  
Reference Conditions ◽  
Operating Conditions ◽  
Condition Based Maintenance ◽  
Failure Diagnosis ◽  
Vibration Frequencies ◽  
Mechanical Vibrations ◽  
Diagnosis And Prognosis ◽  
Monitoring And Diagnostics

Vibration Analysis (VA) is now routinely used for condition monitoring and failure diagnosis in Condition Based Maintenance (CBM). In the context of VA, a methodology is proposed, based on biplots, to simultaneously display both vibration frequencies and their measurement points, in support of monitoring and diagnostics tasks.In this research, real observational data obtained measuring mechanical vibrations on four generators aboard a Portuguese Navy Ship in real operating conditions is used. A portable vibration collector was employed, and the measurements were taken at 13 measurement points in each one of four generators, using the same collector settings. Spectrograms resulting from vibration measurements were transformed into biplots and used for decision support according to the proposed methodology. Data analysis showed a robust stability in the macrostructure of biplots when observations resulting from different generators of the same model and at the same assumed conditions was analyzed. This invariance allows the specification of reference conditions, rules to detect changes of operating conditions and the emergence of failures. The proposed methodology, once embedded in dedicated software, will reduce the interpretation error in diagnosis and prognosis associated to variability in personnel training and experience. Consequently, it will increase the safe use of VA in an increasing number of situations.

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