Wavelet-neural network for detection signals from transverse cracks in the rail head

Нічога, В.; Vashchyshyn, Liubomyr

doi:10.1109/cpee.2015.7333357

Search citation statements

Order By: Relevance

Paper Sections

Select...

Other1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Depending on the similarity to the signal from a transverse crack the network generates a signal that corresponds to defect presence or absence. Results of using ANN (aft er training) are presented in [3] and demonstrate the ability to automatically detect signals from transverse cracks which have similar to the mother wavelet form.…”

Section: Architecture Of Ann For Automatic Detection Of Signals From mentioning

confidence: 99%

See 1 more Smart Citation

Process of Building Artificial Neural Network for Automatic Detection of Signals from Transverse Cracks in the Rail Head

Нічога¹,

Prudyus²,

Vashchyshyn³

2017

Problemy Kolejnictwa - Railway Reports

View full text Add to dashboard Cite

show abstract

Section: Architecture Of Ann For Automatic Detection Of Signals From mentioning

confidence: 99%

“…Prof., DSc. ; Lviv Politechnic National Uniwersity; e-mail: iprudyus@lp.edu.ua 3. Research Offi cer; Physico-Mechanical Institute of the National Academy of Sciences of Ukraine; e-mail: vashchyshyn.liubomyr@gmail.com.…”

mentioning

confidence: 99%