Resistance spot welding (RSW) ultrasonic testing signal contains nugget size and internal
defect information which can reflect the mechanical property of spot-welded joint. The …

In this paper, we describe an automatic detection system to recognise welding defects in
radiographic images. In a first stage, image processing techniques, including noise …

In this paper, we describe an adaptive-network-based fuzzy inference system to recognise
welding defects in radiographic images. In a first stage, image processing techniques …

In this paper, we describe an automatic system to detect, recognise, and classify welding
defects in radiographic images and evaluate the performance for two neuro-classifiers …

Defect classification is an important issue in ultrasonic non-destructive evaluation. A layered
multi-class support vector machine (LMSVM) classification system, which combines multiple …

In this paper, we describe an ANN with a modified performance function which is used in an
automatic inspection system of welding defects in radiographic images. In a first stage …

We review recent work on the application of fluctuation analyses of time series for pattern
classification in nondestructive materials inspection. These analyses are based on the …

This work aims to propose a different approach to evaluate the operating conditions of a
scaled wind turbine through vibration analysis. The turbine blades were built based on the …

This work proposes to identify different imbalance levels in a scaled wind turbine through
vibration signals analysis. The experiment was designed in such a way that the acquired …

Stress corrosion cracks (SCC) in low-pressure steam turbine discs are serious hidden
dangers to production safety in the power plants, and knowing the orientation and depth of …