Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Chapter 1 Structural Health Monitoring of Aero-Engines in Non-stationary Operations

Chapter 2 A New Approach to Tune the Vold-Kalman Estimator for Order Tracking

Chapter 3 Estimation of Cyclic Cumulants of Machinery Vibration Signals in Non-stationary Operation

Chapter 4 Simplified Dynamic Model of a Wind Turbine Shaft Line Operating in Non-stationary Conditions Applied to the Analysis of IAS as a Machinery Surveillance Tool

Chapter 5 Current Signal Analysis of an Induction Machine with a Defective Rolling Bearing

Chapter 6 Fault Detection in Gears Using Stochastic Resonance

Chapter 7 The Impact Estimation of Damping Foundations in Dynamics of the Rotor System in Non-stationary States

Chapter 8 Knife Diagnostics with Clustering Techniques and Support Vector Machines

Chapter 9 Stable Distributions and Fractal Diagnostic Models of Vibration Signals of Rotating Systems

Chapter 10 Selection of Suitable Method for Speed Recovery from Vibration Signal

Chapter 11 How to Build a Vibration Monitoring System on Your Own?

Chapter 12 Optimization of Calculations for Wireless Condition Monitoring Systems

Chapter 13 Supervised Classification Methods in Condition Monitoring of Rolling Element Bearings

Chapter 14 Empirical Signal Decomposition Methods as a Tool of Early Detection of Bearing Fault

Chapter 15 Using Vibroacoustic Signals in Evaluation of Knocking Combustion in a Dual Fuel Engine

Chapter 16 Hybrid Scheme for Wind Turbine Condition Monitoring Based on Instantaneous Angular Speed and Pattern Recognition

Chapter 17 Fault Diagnostic of Machines Under Variable Speed Operating Conditions Using Order Tracking and Novelty Detection

Chapter 18 Bearing Fault Identification Based on Blind Extraction of Cyclostationary Signals Using Order Tracking

Chapter 19 Rotating Machinery Diagnostics Based on Fusion of Infrared and Vibration Measurements

Chapter 20 Calibration of Accelerometers Using Multisinusoidal Excitation

Chapter 21 Operational Condition Monitoring of Wind Turbines Using Cointegration Method

Chapter 22 Knocking Sounds in the Wind Turbine Gearbox During Slowing Down—Case Study

Chapter 23 Multifractals in Technical Diagnostics General Concept

Chapter 24 Complementary View on Multivariate Data Structure Based on Kohonen’s SOM, Parallel Coordinates and t-SNE Methods

Chapter 25 Engine Diagnosis Based on Vibration Analysis Using Different Fuel Blends

Chapter 26 Application of Cepstrum Prewhitening on Non-stationary Signals

Chapter 27 Using of Entropy Method in Failure Diagnostics

Chapter 28 Use of Bispectral Measures in Machines Faults Diagnostics—Examples

Chapter 29 Hybrid Method for Researching Pulsating Flows in Pipes Exemplified with Orifice Application

Chapter 30 Dynamic Behavior of Spur Gearbox with an Elastic Coupling Under Acyclism Regime

Chapter 31 Possibilities of Faults Detection of Rolling Bearings Using Energetic Descriptors of Vibrations Signals

Chapter 32 Bearing Fault Feature Extraction Using Autoregressive Coefficients, Linear Discriminant Analysis and Support Vector Machine Under Variable Operating Conditions

Chapter 33 Multidimensional Data Segmentation Based on Blind Source Separation and Statistical Analysis

Chapter 34 Unsupervised Anomaly Detection for Conveyor Temperature SCADA Data