“…Wavelets have been established as the most widespread tool in this area, due to their flexibility and their efficient computational implementation. They have already been used in specific case studies for bearing fault detection [7,8] and for other machine components [9,10], as well as for identification of structural dynamic parameters [11][12][13]. In many cases, the application of wavelets has been combined and enriched by using additional features, such as Gaussian/exponential-enveloped functions [14], or denoising methods [15].…”