Description |
1 online resource |
Series |
Applied condition monitoring ; volume 15 |
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Applied condition monitoring ; v. 15
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Contents |
Intro; Preface; Contents; Condition Monitoring in Non-Stationary Operations; Extraction of Weak Bearing Fault Signatures from Non-stationary Signals Using Parallel Wavelet Denoising; Abstract; 1 Introduction; 2 Wavelet Denoising Using a Reference Signal; 3 Simulated Signals; 3.1 Results with Simulated Signal; 3.2 Wavelet De-noising vs. ANC; 4 Conclusions; References; Non-stationary Operating Conditions of Rotating Machines: Assumptions and Their Consequences; 1 Introduction; 2 A New Dynamic Model Formulation for Rotors Working at Non Stationary Conditions; 2.1 System Description |
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2.2 Governing Equations of the Rotor2.3 Equations of the Rotor; 3 Results and Discussions; 4 Conclusion; References; Neighbor Retrieval Visualizer for Monitoring Lifting Cranes; 1 Introduction; 2 Nonlinear Information Retrieval for Visualization; 3 Proposed Detection Method; 4 Experiments on the Lifting Crane Winch; 4.1 The Benchmark; 4.2 Information Retrieval and Visualization Results; 4.3 Detection Results; 5 Conclusion and Future Work; References; Influence of the Non-linear Hertzian Stiffness on the Dynamic Behavior of Planetary Gear During Run up Condition; Abstract; 1 Introduction |
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2 Model Description3 Numerical Model; 4 Results; 5 Conclusion; Acknowledgements; References; High Resolution Drilling-Induced Temperature Mapping of CFRP Laminates Using a Fully Distributed Optical Fiber Sensor; Abstract; 1 Introduction; 2 Method and Experimental Layout; 3 Experiment Results; 4 Conclusion; Acknowledgements; References; Normalization Process Based on Kernel Ridge Regression Applied on Wind Turbine IAS Monitoring; 1 Introduction; 2 Materials and Methods; 2.1 Machine Learning; 2.2 Few Words About Kernel Machines; 2.3 Nonlinear Ridge Regression; 2.4 Heteroscedasticity Issue |
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2.5 Model Hyper Parameter Selection3 Experimental Validation; 3.1 Experiment Presentation; 3.2 Results; 3.3 Discussion; 4 Conclusion; References; The Automatic Method of Technical Condition Change Detection for LHD Machines -- Engine Coolant Temperature Analysis; 1 Introduction; 2 Methodology; 3 Real Data Analysis; 4 Conclusions; References; Monitoring and Diagnostic Systems; Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration; 1 Introduction; 2 CNN Architecture; 3 Rotating Speed Normalization; 4 Experimental; 4.1 Data Collection; 4.2 CNN Parameters |
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4.3 Results and Discussions5 Conclusion; References; Model-Based State Estimation for the Diagnosis of Multiple Faults in Non-linear Electro-Mechanical Systems; 1 Introduction; 2 Proposed Framework; 3 Model-Based State and Parameter Estimation; 4 Application Case and Models Used; 4.1 Models; 5 Results; 5.1 Guiding System; 5.2 Electric Machine; 6 Conclusions and Future Steps; References; Estimating the Rotational Synchronous Component from Instantaneous Angular Speed Signals in Variable Speed Conditions; 1 Introduction; 2 The Instantaneous Angular Speed Measurement |
Summary |
This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2018, held on June 20 - 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics |
Bibliography |
Includes bibliographical references and index |
Notes |
Online resource; title from PDF title page (EBSCO, viewed Feburary 11, 2019) |
Subject |
Machinery -- Monitoring -- Congresses
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Engineering.
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Mathematical models.
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Vibration.
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Dynamics.
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Manufacturing industries.
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Machinery.
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Tools.
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Engineering
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Models, Theoretical
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Vibration
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engineering.
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mathematical models.
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vibration (physical)
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machinery.
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TECHNOLOGY & ENGINEERING -- Engineering (General)
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TECHNOLOGY & ENGINEERING -- Reference.
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Dynamics
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Engineering
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Machinery
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Machinery -- Monitoring
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Manufacturing industries
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Mathematical models
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Tools
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Vibration
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Rincon, Alfonso Fernandez Del, editor
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ISBN |
9783030112202 |
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3030112209 |
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3030112195 |
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9783030112196 |
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9783030112219 |
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3030112217 |
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