Advances in Condition Monitoring of Machinery in Non-Stationary Operations

1. Front Matter

   Pages i-xi

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2. Condition Monitoring in Non-Stationary Operations

   1. Front Matter

      Pages 1-1

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   2. Extraction of Weak Bearing Fault Signatures from Non-stationary Signals Using Parallel Wavelet Denoising

      • Dustin Helm, Markus Timusk

      Pages 3-10

   3. Non-stationary Operating Conditions of Rotating Machines: Assumptions and Their Consequences

      • Emna Sghaier, Adeline Bourdon, Didier Remond, Jean-Luc Dion, Nicolas Peyret

      Pages 11-19

   4. Neighbor Retrieval Visualizer for Monitoring Lifting Cranes

      • Paul Honeine, Samira Mouzoun, Mario Eltabach

      Pages 20-29

   5. Influence of the Non-linear Hertzian Stiffness on the Dynamic Behavior of Planetary Gear During Run up Condition

      • Ayoub Mbarek, Ahmed Hammami, Alfonso Fernández del Rincón, Fakher Chaari, Miguel Iglesias, Fernando Viadero Rueda et al.

      Pages 30-38

   6. High Resolution Drilling-Induced Temperature Mapping of CFRP Laminates Using a Fully Distributed Optical Fiber Sensor

      • Pingyu Zhu, Yongjing Li, Yetian Wang, Marcelo A. Soto

      Pages 39-43

   7. Normalization Process Based on Kernel Ridge Regression Applied on Wind Turbine IAS Monitoring

      • Hugo Andre, Flavien Allemand, Ilyes Khelf, Adeline Bourdon, Didier Remond

      Pages 44-53

   8. The Automatic Method of Technical Condition Change Detection for LHD Machines - Engine Coolant Temperature Analysis

      • Paweł Stefaniak, Paweł Śliwiński, Paula Poczynek, Agnieszka Wyłomańska, Radosław Zimroz

      Pages 54-63

3. Monitoring and Diagnostic Systems

   1. Front Matter

      Pages 65-65

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   2. Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration

      • Dongdong Wei, KeSheng Wang, Stephan Heyns, Ming J. Zuo

      Pages 67-76

   3. Model-Based State Estimation for the Diagnosis of Multiple Faults in Non-linear Electro-Mechanical Systems

      • Mikel Gonzalez, Oscar Salgado, Jan Croes, Bert Pluymers, Wim Desmet

      Pages 77-89

   4. Estimating the Rotational Synchronous Component from Instantaneous Angular Speed Signals in Variable Speed Conditions

      • Guillaume Bruand, Florent Chatelain, Pierre Granjon, Nadine Martin, Christophe Duret, Hervé Lénon

      Pages 90-100

   5. A Fleet-Wide Approach for Condition Monitoring of Similar Machines Using Time-Series Clustering

      • Kilian Hendrickx, Wannes Meert, Bram Cornelis, Karl Janssens, Konstantinos Gryllias, Jesse Davis

      Pages 101-110

   6. Remaining Useful Life Prediction of Rolling Element Bearings Based on Unscented Kalman Filter

      • Junyu Qi, Alexadre Mauricio, Mathieu Sarrazin, Karl Janssens, Konstantinos Gryllias

      Pages 111-121

   7. Centrifugal Pump Condition Monitoring and Diagnosis Using Frequency Domain Analysis

      • Maamar Ali Saud ALTobi, Geraint Bevan, Peter Wallace, David Harrison, K. P. Ramachandran

      Pages 122-131

   8. Analysis of Autogram Performance for Rolling Element Bearing Diagnosis by Using Different Data Sets

      • Ali Moshrefzadeh, Alessandro Fasana, Luigi Garibaldi

      Pages 132-141

   9. Fault Detection of Wind Turbine Planetary Epicyclic Gears Using Adaptive Empirical Wavelet Decomposition Based Hybrid Features

      • R. Uma Maheswari, R. Umamaheswari

      Pages 142-150

   10. Long Term Temperature Data Analysis for Damage Detection in Electric Motor Bearings with Density Modeling and Bhattacharyya Distance

       • Wiesław Migdał, Jacek Wodecki, Maciej Wuczyński, Paweł Stefaniak, Agnieszka Wyłomańska, Radosław Zimroz

       Pages 151-159

   11. Diesel Engine Condition Monitoring Due to Different Operation Areas

       • Suzana Lampreia, José Requeijo, Vitor Lobo

       Pages 160-168

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.

• Fault Detection in Rotating Machineries
• Vibration Monitoring
• Variable Speed Wind Turbines
• Diagnostics of Variable Speed Machines
• Rotational Synchronous Component
• Weak Fault Signature Extraction
• Envelope Analysis
• Condition Monitoring of Transportation Systems
• Rotor Dynamics
• Torsional Vibration Analysis
• Torsional Models
• Machine Learning In Fault Diagnostics
• Temperature Monitoring of Electric Motors
• Fleet Analysis
• Bearing Fault Model
• Variable Speed Profile
• Variable Load Failure
• Non-Linear Dynamic Behavior of Planetary Gears
• Instantaneous Angular Speed
• CMMNO2018 Proceedings

• Department of Structural and Mechanical Engineering, Faculty of Industrial and Telecommunications Engineering, University of Cantabria, Santander, Spain

  Alfonso Fernandez Del Rincon, Fernando Viadero Rueda

• Department of Mechanical Engineering, National School of Engineers of Sfax, Sfax, Tunisia

  Fakher Chaari

• Institute of Mining Engineering, Wroclaw University of Technology, Wrocław, Poland

  Radoslaw Zimroz

• National School of Engineers of Sfax, Sfax, Tunisia

  Mohamed Haddar

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