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Keywords: condition monitoring
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Proceedings Papers

Proc. ASME. IMECE2024, Volume 11: Safety Engineering, Risk and Reliability Analysis; Research Posters, V011T14A020, November 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2024-146026
... modeling and deep learning have created new opportunities in condition monitoring for rotating machines. This study presents a novel methodology based on Bayesian neural networks to estimate the length of shaft cracks in rotating equipment and predict their temporal propagation. This approach relies...
Proceedings Papers

Proc. ASME. IMECE2023, Volume 3: Advanced Manufacturing, V003T03A014, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-112954
...Proceedings of the ASME 2023 International Mechanical Engineering Congress and Exposition IMECE2023 October 29-November 2, 2023, New Orleans, Louisiana IMECE2023-112954 NUMERICAL STUDY OF DISTRIBUTED ACOUSTIC SENSING (DAS) FOR RAILWAY CONDITION MONITORING Michael Jones Laboratory for Advanced...
Proceedings Papers

Proc. ASME. IMECE2021, Volume 2B: Advanced Manufacturing, V02BT02A047, November 1–5, 2021
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2021-72923
... Abstract This research aims to characterize the turning process using acoustic signals (AS) for the purpose of remote condition monitoring. This will allow for non-invasive machine monitoring, reducing costs and interference in the machining operation. Various combinations of process parameters...
Proceedings Papers

Proc. ASME. IMECE2011, Volume 7: Dynamic Systems and Control; Mechatronics and Intelligent Machines, Parts A and B, 975-984, November 11–17, 2011
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2011-63965
... with experimental modal frequency measurements to solve for defect parameters of test specimens in the field for condition monitoring. Determining defect parameters can be done by inverting and explicitly solving regression model equations, employing software-driven numeric optimization or through a graphical...
Proceedings Papers

Proc. ASME. IMECE2010, Volume 3: Design and Manufacturing, Parts A and B, 977-981, November 12–18, 2010
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2010-38895
... of the worn location (not performed in real-time). As the inputs from these sensors were ‘fused’, the ANN utilized this multiple-sensor data to yield reasonable predictions of ‘good’, ‘used’, and ‘worn’ tools. Milling fly cutter artificial neural network ANN wear automatic condition monitoring...
Proceedings Papers

Proc. ASME. IMECE2007, Volume 9: Mechanical Systems and Control, Parts A, B, and C, 1129-1135, November 11–15, 2007
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2007-41988
... the effectiveness of the new technique for on-line spindle condition monitoring. 26 05 2009 condition monitoring non-intrusive testing spindle structural dynamics subspace identification new out sub dyn not resu diff the KE spin 1. I Spi and per par ana exa gui Rec the com Proceedings...
Proceedings Papers

Proc. ASME. IMECE2003, Nondestructive Evaluation, 57-63, November 15–21, 2003
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2003-55318
...Proceedings of IMECE 03 2003 ASME International Mechanical Engineering Congress and Exposition Washington, D.C., November 16-21, 2003 ability is definitely welcome in the fields of condition monitoring and ma the advantages a applications of improvements. KEYWORDS: B Processing, Mach Second Order...
Proceedings Papers

Proc. ASME. IMECE2004, Fluid Power Systems and Technology, 137-146, November 13–19, 2004
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2004-62309
... 28 03 2008 This paper investigates the condition monitoring of a servo-valve-controlled linear actuator system using artificial neural networks (NNs). The aim is to discuss techniques for the identification of failure characteristics and their source. It is shown that neural networks...
Proceedings Papers

Proc. ASME. IMECE2005, Fluid Power Systems and Technology, 9-15, November 5–11, 2005
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2005-79761
... Hindman, J. “Condition Monitoring of Valves and Actuators in a Mobile Hydraulic System Using an Artificial Neural Network and Expert Data,” M. Sc. Thesis, University of Saskatchewan, 2002 Le T. and Watton J. “ An Artificial Neural Network Based Approach to Fault Diagnosis...