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Article
Peer-Review Record

Leakage Detection in Water Distribution Networks Based on Multi-Feature Extraction from High-Frequency Pressure Data

Water 2023, 15(6), 1187; https://doi.org/10.3390/w15061187
by Xingqi Wu 1, Sen Peng 1,*, Guolei Zheng 2, Xu Fang 1 and Yimei Tian 1
Reviewer 1:
Reviewer 2:
Water 2023, 15(6), 1187; https://doi.org/10.3390/w15061187
Submission received: 21 February 2023 / Revised: 11 March 2023 / Accepted: 17 March 2023 / Published: 19 March 2023
(This article belongs to the Special Issue Green and Low Carbon Development of Water Treatment Technology)

Round 1

Reviewer 1 Report

Consider using phrase "timeseries" instead of sample.

Figure 1: Step 4 (Leakage Degree Prediction) should be explained more precisely.

Eq. (1) describes Butterworth lowpass, not nandstop.

In Table 1, explain "TP" (= True Positive), "FP" (= False Positive), "FN" (= False Neativ), and "TN" (= True Negative).

Figure 3: Is this a real leak signature, or not just the leak on-off-charakteristic of your experiment setup?

Line 323: decrease -> increase.

 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

attached

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

OK.

Reviewer 2 Report

This revised version is now acceptable.

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