Non-destructive evaluation of seams of laser welded tools using the CS-eddy current technique

Crostack, H.‐A.; Maass, M.

doi:10.1109/iecon.1998.724076

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“…There are many energy sources that can be used in NDE, including radiography (X-ray) [1,2], ultrasound [3,4], eddy current [5], and visual inspection [6,7]. For this thesis, an ultrasonic energy source was used.…”

Section: Non-destructive Evaluationmentioning

confidence: 99%

Classification of ultrasonic signals using hidden Markov models

Velden¹,

Sue²

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Section: Non-destructive Evaluationmentioning

confidence: 99%

Classification of ultrasonic signals using hidden Markov models

Velden¹,

Sue²

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Pulse-modulation eddy current probes for imaging of external corrosion in nonmagnetic pipes

Yan

et al. 2017

NDT & E International

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A methodological approach to multisensor classification for innovative laser material processing units

Alippi

Braione²,

Piuri

et al.

IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in The

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-Online quality detection and online laser beam control are important research topics to improve the overall quality of nowadays laser beam material processing units. In both cases innovative units are at study where the state is monitored by a set of heterogeneous in-process sensors conveying a large amount of information. However, low experiment reproducibility, lack of dominion knowledge and high costs greatly limit our ability of finding an optimal solution. In this paper we propose a methodology to guide the engineer's design choices towards an optimal implementation of the inductive classifier.

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Non-destructive evaluation of seams of laser welded tools using the CS-eddy current technique

Cited by 3 publications

References 0 publications

Classification of ultrasonic signals using hidden Markov models

Classification of ultrasonic signals using hidden Markov models

Pulse-modulation eddy current probes for imaging of external corrosion in nonmagnetic pipes

A methodological approach to multisensor classification for innovative laser material processing units

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