Advances in Condition Monitoring of Machinery in Non-Stationary Operations : Proceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2018, 20-22 June 2018, Santander, Spain / / edited by Alfonso Fernandez Del Rincon, Fernando Viadero Rueda, Fakher Chaari, Radoslaw Zimroz, Mohamed Haddar |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XI, 423 p. 274 illus., 218 illus. in color.) |
Disciplina |
670
620 |
Collana | Applied Condition Monitoring |
Soggetto topico |
Manufactures
Vibration Dynamical systems Dynamics Signal processing Image processing Speech processing systems Physics Manufacturing, Machines, Tools, Processes Vibration, Dynamical Systems, Control Signal, Image and Speech Processing Numerical and Computational Physics, Simulation |
ISBN | 3-030-11220-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Condition Monitoring in Non-Stationary Operations -- Extraction of Weak Bearing Fault Signatures from Non-Stationary Signals Using Parallel Wavelet Denoising -- Neighbor Retrieval Visualizer for Monitoring Lifting Cranes -- Monitoring and Diagnostic Systems -- Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration -- Monitoring of a High-Speed Train Bogie Using the EMD Technique -- Default Detection in a Back-To-Back Planetary Gear-Box through Current and Vibration Signals -- Noise and Vibration in Machines -- Identification of Torsional Vibration Modal Parameters: Application on a Ferrari Engine Crankshaft -- Experimental Characterization of Metal-Mesh Isolators Damping Capacity by Constitutive Mechanical Model -- Signal Processing -- Separation of Impulse from Oscillation for Detection of Bearing Defect in the Vibration Signal -- Vibro-Acoustic Diagnosis of Machinery -- Cyclo-Non-Stationary Based Bearing Diagnostics of Planetary Gearboxes -- Cyclostationary Approach for Long Term Vibration Data Analysis -- Monitoring of Soil Density During Compaction Processes. |
Record Nr. | UNINA-9910337631503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Condition Monitoring of Machinery in Non-Stationary Operations : Proceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2016, 12–16 September 2016, Gliwice, Poland / / edited by Anna Timofiejczuk, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (X, 373 p. 206 illus., 159 illus. in color.) |
Disciplina | 621.816 |
Collana | Applied Condition Monitoring |
Soggetto topico |
Vibration
Dynamical systems Dynamics Signal processing Image processing Speech processing systems Mathematical models Manufactures Vibration, Dynamical Systems, Control Signal, Image and Speech Processing Mathematical Modeling and Industrial Mathematics Manufacturing, Machines, Tools, Processes |
ISBN | 3-319-61927-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910299893103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Condition Monitoring of Machinery in Non-Stationary Operations : Proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2014, Lyon, France December 15-17 / / edited by Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (483 p.) |
Disciplina | 620 |
Collana | Applied Condition Monitoring |
Soggetto topico |
Machinery
Signal processing Image processing Speech processing systems Quality control Reliability Industrial safety Vibration Dynamical systems Dynamics Machinery and Machine Elements Signal, Image and Speech Processing Quality Control, Reliability, Safety and Risk Vibration, Dynamical Systems, Control |
ISBN | 3-319-20463-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1. Signal Processing -- Part 2. Data Mining -- Part 3. Condition Monitoring Techniques. |
Record Nr. | UNINA-9910254213603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Technical Diagnostics II : Proceedings of the 7th International Congress on Technical Diagnostics, ICTD 2022, 14–16 September 2022, Radom, Poland / / edited by Andrzej Puchalski, Bogusław Edward Łazarz, Fakher Chaari, Iwona Komorska, Radoslaw Zimroz |
Autore | Puchalski Andrzej |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (242 pages) |
Disciplina | 621.38 |
Altri autori (Persone) |
ŁazarzBogusław Edward
ChaariFakher KomorskaIwona ZimrozRadoslaw |
Collana | Applied Condition Monitoring |
Soggetto topico |
Cooperating objects (Computer systems)
Machinery Multibody systems Vibration Mechanics, Applied Materials—Fatigue Cyber-Physical Systems Machinery and Machine Elements Multibody Systems and Mechanical Vibrations Materials Fatigue |
Soggetto non controllato |
Mechanical Engineering
Technology & Engineering |
ISBN |
9783031317194
9783031317187 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Ship diesel engine fault diagnosis using data science and machine learning -- Laser spot thermography for defect detection in composite structure -- Monitoring the technical condition of the marine turbine engines by analysis of rundown resonance parameter -- Theoretical-experimental determination of CVT power losses due to rubber V-belt vibrations -- Dynamic model for simulation of phenomena occurring in a planetary gear operating in a power transmission system -- Acoustic emission monitoring for wire drawing process -- Cycloidal gearbox model for transient analysis implemented in Fortran with constant time step 2nd order integrator -- Experimental setup for nondestructive testing of composite structures using laser spot thermography -- Neural network-based road surface condition monitor concept -- Method of fault detection of drive systems using features of Park's vector hodograph. |
Record Nr. | UNINA-9910726288503321 |
Puchalski Andrzej | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Cyclostationarity: Theory and Methods III : Contributions to the 9th Workshop on Cyclostationary Systems and Their Applications, Grodek, Poland, 2016 / / edited by Fakher Chaari, Jacek Leskow, Antonio Napolitano, Radoslaw Zimroz, Agnieszka Wylomanska |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (VIII, 257 p. 115 illus., 97 illus. in color.) |
Disciplina | 621.8 |
Collana | Applied Condition Monitoring |
Soggetto topico |
Machinery
Vibration Dynamical systems Dynamics Signal processing Image processing Speech processing systems Mathematical models Quality control Reliability Industrial safety Machinery and Machine Elements Vibration, Dynamical Systems, Control Signal, Image and Speech Processing Mathematical Modeling and Industrial Mathematics Quality Control, Reliability, Safety and Risk |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | From the content: Weak Dependence: An Introduction Through Asymmetric ARCH Models -- Subsampling for Non‐Stationary Time Series With Long Memory and Heavy Tails Using Weak Dependence Condition -- Change‐Point Problem in the Fraction of Time Approach. |
Record Nr. | UNINA-9910254172403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Cyclostationarity: Theory and Methods - II : Contributions to the 7th Workshop on Cyclostationary Systems And Their Applications, Grodek, Poland, 2014 / / edited by Fakher Chaari, Jacek Leskow, Antonio Napolitano, Radoslaw Zimroz, Agnieszka Wylomanska, Anna Dudek |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (210 p.) |
Disciplina |
519.5
620 621.382 621.8 |
Collana | Applied Condition Monitoring |
Soggetto topico |
Machinery
Vibration Dynamical systems Dynamics Signal processing Image processing Speech processing systems Statistics Machinery and Machine Elements Vibration, Dynamical Systems, Control Signal, Image and Speech Processing Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
ISBN | 3-319-16330-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Simulation Study of Performance of MBBin Overall Mean Estimation Problemfor APC Time Series -- Parametric Estimation Problem for a Time‐Periodic Signal in a Periodic Noise -- Damage Assessment of Rolling Element Bearing Using Cyclostationary Processing of AE Signals with Electromagnetic Interference -- The Stochastic Recurrence Structure of Geophysical Phenomena -- Influence of Different Signal Characteristics to PAR Model Stability -- Limiting Distributions For Explosive PAR(1) Timeseries with Strongly Mixing Innovation -- PARMA Models with Applications in R -- Multidimensional Analysis of New Zealand Electricity Prices -- Imputation of Missing Observations for Heavy Tailed Cyclostationary Time Series -- The Dependence Structure for Symmetricα‐Stable CARMA(p,q) Processes. |
Record Nr. | UNINA-9910299819203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Cyclostationarity: Theory and Methods – IV : Contributions to the 10th Workshop on Cyclostationary Systems and Their Applications, February 2017, Grodek, Poland / / edited by Fakher Chaari, Jacek Leskow, Radoslaw Zimroz, Agnieszka Wyłomańska, Anna Dudek |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (234 pages) |
Disciplina |
621.3822
621.8 |
Collana | Applied Condition Monitoring |
Soggetto topico |
Engineering design
Vibration Dynamical systems Dynamics Manufactures Physics Engineering Design Vibration, Dynamical Systems, Control Manufacturing, Machines, Tools, Processes Numerical and Computational Physics, Simulation |
ISBN | 3-030-22529-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Modeling Periodic Autoregressive Time Series with Multiple Periodic Effects -- Subsampling for Heavy Tailed, Non stationary and Weakly Dependent Time Series -- Bootstrapping the Autocovariance of PC Time Series - A Simulation Study -- On Extreme Values in Stationary Weakly Dependent Random Fields -- Subordinated Processes with Infinite Variance -- Ornstein-Uhlenbeck Process Delayed by Gamma Subordinator -- Estimation of the Pointwise Hölder Exponent in Time Series Analysis -- Application of the CIR Model for Spot Short Interest Rates Modelling on the Polish Market -- An Overview of Robust Spectral Estimators. |
Record Nr. | UNINA-9910366615703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Nonstationary Systems : Contributions to the 13th Workshop on Nonstationary Systems and Their Applications, February 3-5, 2020, Grodek Nad Dunajcem, Poland |
Autore | Chaari Fakher |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
Descrizione fisica | 1 online resource (439 pages) |
Altri autori (Persone) |
LeskowJacek
WylomanskaAgnieszka ZimrozRadoslaw NapolitanoAntonio |
Collana | Applied Condition Monitoring Ser. |
Soggetto genere / forma | Electronic books. |
ISBN | 3-030-82110-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Nonstationary Systems |
Record Nr. | UNINA-9910497109203321 |
Chaari Fakher | ||
Cham : , : Springer International Publishing AG, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Smart Monitoring of Rotating Machinery for Industry 4. 0 |
Autore | Chaari Fakher |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
Descrizione fisica | 1 online resource (177 pages) |
Altri autori (Persone) |
ChiementinXavier
ZimrozRadoslaw BolaersFabrice HaddarMohamed |
Collana | Applied Condition Monitoring Ser. |
Soggetto genere / forma | Electronic books. |
ISBN | 3-030-79519-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Contents -- Vulnerabilities and Fruits of Smart Monitoring -- 1 Introduction -- 1.1 The Ultimate System -- 1.2 What Is Smart Monitoring? -- 1.3 Smart Systems Versus Smart Staff -- 2 Evolution of Condition Monitoring Systems -- 2.1 Early Days -- 2.2 Expansion of Stationary Distributed Systems -- 2.3 Industrial Internet-of-Things -- 3 CMS Interaction with Human -- 3.1 Selection -- 3.2 Configuration -- 3.3 Operation -- 3.4 Maintenance Planning -- 4 Recommendations for Selection of Suitable System -- 5 Summary -- References -- A Tutorial on Canonical Variate Analysis for Diagnosis and Prognosis -- 1 Introduction -- 2 Canonical Variate Analysis for Diagnosis -- 2.1 The Basic Framework of CVA -- 2.2 Determination of the Number of Retained States -- 2.3 Determination of Fault Threshold -- 2.4 Extensions of CVA-Canonical Variate Dissimilarity Analysis -- 2.5 Industrial Case Study-Canonical Variate Analysis -- 3 Canonical Variate Analysis for Prognosis -- 3.1 CVA-Based State Space Models -- 3.2 Determining the Number of Retained States -- 3.3 Example of Using CVA State Space Model for Prognosis -- 3.4 CVA-Based Data Driven Models -- 4 Conclusion -- References -- A Structured Approach to Machine Learning Condition Monitoring -- 1 Introduction -- 2 Machine Learning -- 2.1 Deep Learning -- 2.2 Advantages and Drawbacks of the Machine Learning Supervised and Unsupervised Techniques in CBM -- 3 Development of Classifiers with Machine Learning Algorithms -- 4 Model Development Workflow -- 5 Conclusions -- References -- A Structured Approach to Machine Learning for Condition Monitoring: A Case Study -- 1 Introduction -- 2 Random Forest -- 3 Deep Learning/Autoencoder -- 4 Problem Description -- 4.1 Preliminary Test on Rotary Test Rig -- 4.2 XTS Test Rig -- 4.3 Autoencoder for Anomaly Detection -- 5 Conclusions -- References.
Dynamic Reliability Assessment of Structures and Machines Using the Probability Density Evolution Method -- 1 Introduction -- 2 The Probability Density Evolution Method -- 2.1 The PDEM Equation -- 2.2 Physical Interpretation of the PDEM -- 2.3 Dynamic Reliability Assessment Using PDEM -- 3 Dynamic Reliability Assessment of Structures -- 3.1 Offline PDEM-Based Reliability Assessment Method -- 3.2 Online PDEM-Based Reliability Assessment Method -- 3.3 Case Study: Cantilevered Beam -- 4 Dynamic Reliability Assessment of Machines -- 4.1 Extra Considerations for Dynamic Reliability Assessment of Machines -- 4.2 Case Study: Bearing -- 5 Discussion and Future Research Directions -- 5.1 Future Research Directions -- References -- Rotating Machinery Condition Monitoring Methods for Applications with Different Kinds of Available Prior Knowledge -- 1 Introduction -- 2 Prior Knowledge in Condition Monitoring -- 2.1 Engineering Knowledge -- 2.2 Knowledge Extracted from Machine Learning Algorithms -- 3 Case Study -- 3.1 Data Availability: Level 0 -- 3.2 Data Availability: Level 1 -- 3.3 Data Availability: Level 2 -- 4 Conclusions and Recommendations -- References -- Model Based Fault Diagnosis in Bevel Gearbox -- 1 Introduction -- 2 Dynamic Modelling of One Stage Straight Bevel Gearbox -- 3 Modelling of Mesh Stiffness Function -- 3.1 Mesh Stiffness Model of a Healthy Bevel Gear -- 3.2 Mesh Stiffness Model of Bevel Gear with a Missing Tooth Fault -- 4 Simulation and Results -- 4.1 Dynamic Response of a Healthy Bevel Gear System -- 4.2 Dynamic Response of a Bevel Gear System with Missing Tooth Fault -- 5 Experimental Validation -- 6 Conclusion -- References -- Investigating the Electro-mechanical Interaction Between Helicoidal Gears and an Asynchronous Geared Motor -- 1 Introduction -- 2 Experimental Set Up -- 3 Results -- 4 Conclusion -- References. Algebraic Estimator of Damping Failure for Automotive Shock Absorber -- 1 Introduction -- 2 Vehicle Model -- 3 Proposed Algebraic Estimator -- 4 Results of Simulation -- 5 Conclusion -- References -- On the Use of Jerk for Condition Monitoring of Gearboxes in Non-stationary Operations -- 1 Introduction -- 2 Dynamic Model -- 3 Numerical Simulations -- 3.1 Stationary Operating Conditions -- 3.2 Non-stationary Operating Conditions -- 3.3 Influence of Noise -- 4 Conclusion -- References -- Dynamic Remaining Useful Life Estimation for a Shaft Bearings System -- 1 Introduction -- 2 Methodology -- 3 Validation of the Proposed Approach -- 3.1 Experimental Setup -- 3.2 Results and Discussion -- 4 Conclusion -- References. |
Record Nr. | UNINA-9910497096503321 |
Chaari Fakher | ||
Cham : , : Springer International Publishing AG, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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