@inproceedings{6590b8f9caa94855a22ae9b41268a79f,
title = "Proceedings of VETOMAC X 2014",
abstract = "Earlier studies have shown the possibilities of detecting different faultson a rigidly supported rotating machine through coherent composite spectrum(CCS) and coherent composite bispectrum (CCB) data fusion techniques. Thecurrent paper is also related to the use of CS, CB and a newly introduced coherentcomposite trispectrum (CCT) for faults identification in flexibly supported rotatingmachines. Six experimentally simulated cases have been considered on two sets offlexibly supported (FS1 and FS2) rotating machines, at 1,200 RPM (20 Hz) speed.Vibration data were then collected from both FS1 and FS2, using only fouraccelerometers (one per bearing pedestal in the diagonal direction), for the computationof CCS, CCB and CCT. Some combinations of CCB and CCT componentswere then used to further test the robustness of the techniques in rotatingmachines{\textquoteright} faults differentiation. The observations and results of the experiments arehereby discussed here.",
author = "Akilu Yunusa-Kaltungo and Sinha, {Jyoti K.} and Marco Ceccarelli",
year = "2014",
month = sep,
day = "9",
language = "English",
volume = "23",
series = "Mechanisms and Machines Science",
publisher = "Springer Nature",
booktitle = "Mechanisms and Machines Science",
address = "United States",
note = "10th International Conference on Vibration Engineering and Technology of Machinery VETOMAC-X ; Conference date: 09-09-2014 Through 11-09-2014",
}