Fault detection in different types of noise environments
Grzegorz Żak · Vibroengineering PROCEDIA · 2017
Local damage detection is one of the most investigated problems in the field of condition monitoring. Raw signals often possess different components that make it difficult for one to directly detect damage. By such components one can mean high energy of the noise, deterministic part or even artifacts (singular impulses that are not connected to the fault). In this paper author covers problem of the fault detection in different noise environments by means of statistical analysis. Author has applied α -stable distribution as a tool for the impulsivity detection instead of commonly used spectral kurtosis and fractional lower-order covariance as a mean of cyclicity and impulsivity detection in the presence of non-Gaussian noise.