This journal focuses on the development and application of advanced methods for structural health monitoring and fault diagnosis. It addresses challenges in analyzing complex signals from mechanical systems and structures, including gearboxes, bearings, brake pads, and wind turbine blades. The research emphasizes techniques for detecting and diagnosing faults, damage, and degradation, often in noisy or variable operating conditions, utilizing signal processing, machine learning, and physics-based models.
Structural Health Monitoring TechniquesUltrasonics and Acoustic Wave PropagationNon-Destructive Testing TechniquesInfrastructure Maintenance and MonitoringMachine Fault Diagnosis TechniquesConcrete Corrosion and DurabilityGeophysical Methods and ApplicationsGear and Bearing Dynamics AnalysisFault Detection and Control SystemsAdvanced Fiber Optic Sensors