“…Alfayez et al had a study on the features of incipient cavitation with the root-mean-square value of AE signal [77].Čudina and Prezelj proposed the relationship between the discrete frequency component and the cavitation. It was concluded that the characteristic discrete frequency tone was closely linked with the cavitation process [78]. Håkansson et al investigated the location and conditions of cavitation based on a high-pressure homogenizer model with two methods: the scattering of light from cavitation bubbles and the acoustical measurement [79].…”
The applications of acoustic emission (AE) technique in detection of valves are presented in this review, and the theoretical models and experimental results of nondestructive detection of valves using AE are provided. The generation of AE signals and the basic composition of AE detection system are briefly explained. The applications of AE technique in valves are focused on condition monitoring, failure, cavitation detection, and the development of portable measuring devices. All results prove that the AE technique works well in the detection of valves.
“…Alfayez et al had a study on the features of incipient cavitation with the root-mean-square value of AE signal [77].Čudina and Prezelj proposed the relationship between the discrete frequency component and the cavitation. It was concluded that the characteristic discrete frequency tone was closely linked with the cavitation process [78]. Håkansson et al investigated the location and conditions of cavitation based on a high-pressure homogenizer model with two methods: the scattering of light from cavitation bubbles and the acoustical measurement [79].…”
The applications of acoustic emission (AE) technique in detection of valves are presented in this review, and the theoretical models and experimental results of nondestructive detection of valves using AE are provided. The generation of AE signals and the basic composition of AE detection system are briefly explained. The applications of AE technique in valves are focused on condition monitoring, failure, cavitation detection, and the development of portable measuring devices. All results prove that the AE technique works well in the detection of valves.
“…Cudina and Prezelj measured the noise at discrete frequencies in the audible range to detect the incipient and fully developed cavitation in pump. They found great enough difference in the noise level between the two conditions for various distance between the microphone and the pump, where they found a great difference in noise peak at the discrete frequency of 147 Hz [6] [7].…”
Cavitation in pumps causes destructive consequences; it must be detected and prevented. The aim of the present work is investigating the validity of sound spectrum as a prediction tool for pump cavitation. Results showed that; for the discrete frequencies of RF = 47.5 Hz, and BPF = 285 Hz and its second, third, and fourth harmonics of 570 Hz, 855 Hz, and 1140 Hz respectively; there are no great variations in the noise signal for the cavitation and non-cavitation conditions. For the discrete frequency of 147 Hz, there is also no great variation in the noise signal at this frequency. The only apparent result is that; the occurrence of cavitation results high energy noise signals at high frequencies from 1000 Hz to 10000 Hz. The absence of any discrete frequency to be monitored makes the sound spectrum not valid as a prediction tool for cavitation in the pumps.
“…Separated spectra can be observed in published data in many mechanical vibration experiments. As examples, one can cite vibrations in the body [1], seat [2], gearbox [3] and external mirrors [4] of automobiles, cavitation in pumps [5], in ship-borne antennas [6], in operating wind turbines [7], in heat exchanger tube banks [8] and in vortex-induced vibrations in tensioned steel risers [9]. There are of course many other examples.…”
Abstract:Complex systems are composed of a large number of individual components. Many of these systems are separable, i.e., they can be split into two coupled subsystems: one with foreground components and another with background components. The former leads to narrow peaks in the frequency spectrum of the system and the latter gives the broad-band part. There is coupling between the two subsystems, but they can be studied separately for purposes of modeling and for analysis of experimental data. Examples from the literature are given from the area of mechanical vibrations, but the approach is quite general and can be adapted to other kinds of problems.
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