Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Khalid F. Al-Raheem"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
The bearing characteristic frequencies (BCF) contain very little energy, and are usually overwhelmed by noise and higher levels of macro-structural vibrations. They are difficult to find in their frequency spectra when using the common technique of f
Externí odkaz:
https://doaj.org/article/0f79d2b2ac8142acaa99635d4dd18e3b
Publikováno v:
Universal Journal of Mechanical Engineering. 3:47-51
The wavelet de-noising technique with wavelet based function has been used in this paper for bearing fault detection. The applications of the wavelet de-noising show that the fault pulses in time-domain of the de-noised signals are easily to be detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8afa3e9ddb17a3c92ba581afaeaafa32
https://doi.org/10.13189/ujme.2015.030203
https://doi.org/10.13189/ujme.2015.030203
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 67:2075-2082
A vibration technique is used in this study to explore the effect of low frequency vibration on the mechanical reliability of Al-7Si-Mg castings. The quality of castings is related to the number and the size of porosity and oxide film in thin wall in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f6ab6dc038542220ded15930d3a8ba6
https://doi.org/10.1007/s00170-012-4632-z
https://doi.org/10.1007/s00170-012-4632-z
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 61:873-887
Understanding the mechanism of the vibration needed to fill thin section and clarifying the dominant control parameters of the vibration in thin wall investment casting are the keys to producing sound casting. The filling capability in thin wall inve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98be2e4fe2e9f6a74f49b86755f22c49
https://doi.org/10.1007/s00170-011-3774-8
https://doi.org/10.1007/s00170-011-3774-8
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 40:393-402
Machinery failure diagnosis is an important component of the condition based maintenance (CBM) activities for most engineering systems. Rolling element bearings are the most common cause of rotating machinery failure. The existence of the amplitude m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37999c899b064d25fd5d996d8f514d55
https://doi.org/10.1007/s00170-007-1330-3
https://doi.org/10.1007/s00170-007-1330-3
Publikováno v:
Journal of Konbin. 3:7-16
The Exploitation of Wavelet De-Noising To Detect Bearing Faults Failure diagnosis is an important component of the Condition Based Maintenance (CBM) activities for most engineering systems. Rolling element bearings are the most common cause of rotati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6193a5faef107dc3febda8b68ffa8f0
https://doi.org/10.2478/v10040-008-0001-2
https://doi.org/10.2478/v10040-008-0001-2
Publikováno v:
International Journal of Engineering, Science and Technology; Vol 3, No 1 (2011)
Misrun is a term used to describe the incomplete filling of the mould cavity. It is a major defect in the investment casting process when used to produce turbine blades, impellers and impulse blades for turbo pumps which have complex profiles, thin w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33dbb44df0aa592f57d4c4487807880a
https://www.ajol.info/index.php/ijest/article/view/67642
https://www.ajol.info/index.php/ijest/article/view/67642
Rolling bearing fault diagnostics using artificial neural networks based on Laplace wavelet analysis
Publikováno v:
International Journal of Engineering, Science and Technology; Vol 2, No 6 (2010)
A study is presented to explore the performance of bearing fault diagnosis using three types of artificial neural networks (ANNs), namely, Multilayer Perceptron (MLP) with BP algorithm, Radial Basis Function (RBF) network, and Probabilistic Neural Ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::198bc34617f38e41b7d0b63bd07dac5c
https://doi.org/10.4314/ijest.v2i6.63730
https://doi.org/10.4314/ijest.v2i6.63730
Publikováno v:
Journal of Vibration and Acoustics. 130
A new technique for an automated detection and diagnosis of rolling bearing faults is presented. The time-domain vibration signals of rolling bearings with different fault conditions are preprocessed using Laplace-wavelet transform for features’ ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6f19022d838212f003b9a85215599fd
https://doi.org/10.1115/1.2948399
https://doi.org/10.1115/1.2948399
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007, Iss 1, p 073629 (2007)
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
The bearing characteristic frequencies (BCF) contain very little energy, and are usually overwhelmed by noise and higher levels of macro-structural vibrations. They are difficult to find in their frequency spectra when using the common technique of f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48a56d2992293df8d855d8df1d5c5630
http://asp.eurasipjournals.com/content/2007/073629
http://asp.eurasipjournals.com/content/2007/073629