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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
61

Methodology on Exact Extraction of Time Series Features for Robust Prognostics and Health Monitoring

Jin, Chao 30 October 2017 (has links)
No description available.
62

Cyber-Physical System Augmented Prognostics and Health Management for Fleet-Based Systems

Liu, Zongchang 15 May 2018 (has links)
No description available.
63

Evaluation of Health Assessment Techniques for Rotating Machinery

Siegel, David January 2009 (has links)
No description available.
64

Techniques for Real-Time Tire Health Assessment and Prognostics under Dynamic Operating Conditions

Xu, Su January 2011 (has links)
No description available.
65

Data Quality Assessment Methodology for Improved Prognostics Modeling

Chen, Yan 19 April 2012 (has links)
No description available.
66

A Comparative Study of Prognostic and Health Assessment Methods in Sensor Rich and Sensorless Environments

Skirtich, Tyler 24 September 2012 (has links)
No description available.
67

Fault Detection in a Network of Similar Machines using Clustering Approach

Lapira, Edzel R. 05 October 2012 (has links)
No description available.
68

An Adaptive Prognostic Methodology and System Framework for Engineering Systems under Dynamic Working Regimes

Yang, Shanhu 24 May 2016 (has links)
No description available.
69

Performing Diagnostics & Prognostics On Simulated Engine Failures Using Neural Networks

Macmann, Owen 28 June 2016 (has links)
No description available.
70

Assessing readiness for implementation of prognostics and health management in small and medium enterprises

Fuller, Sara C 09 August 2022 (has links)
Prognostics and Health Management (PHM) refers to using robust sensing, monitoring, and control to detect, assess, and track system health degradation and failure modes, allowing for enhanced management and operational decisions. The need for PHM within a manufacturing facility has increased due to a variety of reasons, such as the increasing complexity of manufacturing equipment. A lack of readiness for digital implementations is linked to failure. The literature highlights certain barriers and enablers that can signal whether a technology implementation will be successful, such as management and maintenance employees’ desire to change the existing process, an understanding and willingness to take risks with technology, and having employees with the right competencies and motivations. This thesis identifies barriers and enablers related a successful PHM implementation and develops an assessment tool to identify a company’s readiness level as well as recommendations for increasing the probability of success.

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