## Appendix A \begin{table}
\begin{tabular}{c l} \hline \hline
**Source** & \multicolumn{1}{c}{**Material and Methods, Results**} \\ \hline \multirow{7}{*}{[PERSON] et al. (2004)[59]} & Type of signal: flow rate, pressure \\  & Number of sensors: 1 flow meter, 8 pressure transducers \\  & Measurement time step: no data \\  & Pipeline characteristics: pipe material—PE, pipe length—277 m, internal diameter—50.6 mm \\  & Leak size: 0.10–0.55 dm\({}^{3}\)/s \\  & Methods: optimization techniques Levenberg–Marquart (LM), genetic algorithm (GA), hydraulic \\  & transient solver (HTS) \\  & Error of leak location: 0.3–13.0\% \\ \hline \multirow{7}{*}{[PERSON] and [PERSON] (2012)[77]} & Type of signal: pressure \\  & Number of sensors: 2 \\  & Measurement time step: 1 s \\ \cline{1-1}  & Pipeline characteristics: pipe material—PE, pipe length—380 m, nominal diameter—34 mm \\ \cline{1-1}  & Leak size: 2–5\% QN \\ \cline{1-1}  & Methods: low-pass filter (LPF), gradient method (GM) \\ \cline{1-1}  & Error of leak location: 0.09–1.45\% \\ \hline \multirow{7}{*}{[PERSON] et al. (2014)[63]} & Type of signal: pressure \\  & Number of sensors: 15 \\ \cline{1-1}  & Measurement time step: 0.25 s \\ \cline{1-1}  & Pipeline characteristics: pipe material—PVC, pipe length—200 m, nominal diameter—53–101 mm \\ \cline{1-1}  & Leak size: \textless{3}\% and \textgreater{11}\% QN \\ \cline{1-1}  & Methods: wavelet transform (WT)—Daubechies wavelet, feature extraction (FE) \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Overview of experiments carried out in the laboratory for the development of methods of identifying operating conditions (own elaboration). \begin{table}
\begin{tabular}{c l} \hline \hline
**Source** & \multicolumn{1}{c}{**Material and Methods, Results**} \\ \hline \multirow{8}{*}{[PERSON] et al. (2014)[20]} & Type of signal: pressure \\  & Number of sensors: 6 \\  & Measurement time step: 0.1 s \\  & Pipeline characteristics: pipe material—galvanized steel, pipe length—14.2 m, nominal \\  & diameter—50.80 mm \\  & Leak size: area 6.35–38.10 mm\({}^{2}\) \\  & Methods: wavelet transform (WT)—Daubechies, Haar, Symlet wavelet \\ \hline \multirow{8}{*}{[PERSON] et al. (2015)[22]} & Type of signal: flow rate, pressure \\  & Number of sensors: 2 flow meters, 2 pressure transducers \\  & Measurement time step: \textless{}0.001 s \\  & Pipeline characteristics: pipe material—steel, pipe length—14 m, internal diameter—500 mm \\  & Leak size: opening of valve from 30\({}^{\circ}\) to 60\({}^{\circ}\) \\  & Methods: hybrid technique (the stimulus response method) \\  & Error of leak location: 5–8\% \\ \hline \multirow{8}{*}{[PERSON] et al. (2015)[60]} & Type of signal: pressure \\  & Number of sensors: 5 pressure transducers \\  & Measurement time step: 0.1 s \\  & Pipeline characteristics: pipe material—gallvanized steel, pipe length—14.2 m, nominal \\  & diameter—50.80 mm \\  & Leak size: area 6.35–38.10 mm\({}^{2}\) \\  & Methods: wavelet transform (WT)—Daubechies, support vector machine (SVM), k-nearest neighbors \\  & algorithm (k-NN), naive Bayes classifier (NBC), Gaussian mixture model (GMM) \\ \hline \multirow{8}{*}{[PERSON] (2016)[78]} & Type of signal: pressure \\  & Number of sensors: 2 pressure transducers, 2 membrane correctors \\  & Measurement time step: 1 s \\  & Pipeline characteristics: pipe material—HDPE, pipe length—380 m, internal diameter—34 mm \\  & Leak size: 1–10\% QN \\  & Methods: gradient method (GM), analysis of weak inter-object interaction signals \\  & Error of leak location: 2.4–65.5\% \\ \hline \multirow{8}{*}{[PERSON] et al. (2021)[79]} & Type of signal: pressure \\  & Sensors: pressure transducers \\  & Sampling frequency: 1024 Hz \\  & Pipeline characteristics: pipe material—HDPE, pipe length—166.28 m, internal diameter—0.0933 m \\  & Leak size: 0.327 L/s \\  & Methods: frequency response function (FRF)-based transient wave analysis method (TWAM) \\ \hline \hline \end{tabular}
\end{table}