The flow data considered in this paper are an extract from Paris real-time SCADA system historical records. The quality of the registered data is varying, with data gaps and periods of anomalous signals and many periods of continuous, good quality registration occurring in all of the DMAs. Van Thienen & Montiel (2014) have presented a non-censored list of registered leaks, and the results obtained by the application of the CFPD block analyses (non-automatized, so no application of CuBOid) to these data. In most cases, the leaks could be recovered. Presently, we applied the CuBOid algorithm to the same data in order to retrieve the anomalies from the same leakage list. Different sets of parameter values controlling the CuBOid algorithm were tested and results were compared. For all of the tested combinations the algorithm was able to identify almost all of the registered leaks (success of identification and its practical meaning are discussed below). The differences consisted of the estimated amplitudes and the number of identified blocks describing each anomaly. The best results, in terms of amplitudes and number of blocks, were obtained for the following set of parameters: number of steps = 3, number of clusters = 5, Lx = 0.7, f1 = 0.01, f2 = 0.7. The results obtained for this set are shown in Table 7.
Overview of registered leaks and anomalies identified using CFPD analysis with the CuBOid algorithm