“…For this purpose, the following are used for quantitative or qualitative assessments: first-order statistical characteristics (mean value, variance, standard deviation, entropy, and so on), monospectral (Fourier transform) or bispectral (higher order cumulants), frequency analysis, time-frequency analysis (spectrogram, Cohen class transforms, Stockwell transform, wavelet transform, and so on), cyclostationary analysis (frequency-frequency), probabilistic methods (Bayesian techniques / Bayesian decisions), detection of sudden / abrupt variations etc. As can be seen, these methods do not require mathematical models of gasoline engine operation (as in model-based diagnostics), but involve the existence of constructive elements that provide values of those variables and this aspect shows the increased role of sensors and actuators in engine diagnostics [2,3,6,7]. As noted, signal-based analysis applies to time domain, frequency domain, time-frequency domain, and frequency-frequency domain.…”