Blockage Detection in Pipeline Based on the Extended Kalman Filter Observer

Round 1

Reviewer 1 Report

The presentation of this revised manuscript is clear.  Almost all doubts and typos existing in the previous version have been clarified and corrected. The quality of this article is acceptable for publication.

 

Typos :

Diameter existing in equation (2) and (3) should be consistent. 

Author Response

Thank you very much for your good comment. From your constructive suggestion, in revision we rectified  it

Reviewer 2 Report

The paper can be considered for publication after improving the writing.

Author Response

Thank you very much for your good comment. From your constructive suggestion, in revision, we have improved the writing. 

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.

Round 1

Reviewer 1 Report

In this article, a new technique based on Extended Kalman Filter observer is proposed to detect and locate the blockage in the pipeline. In addition, the controllability and observability of the system are also examined. A numerical example is used to demonstrated the feasibility of the proposed technique.

 

The presentation of this article is clear and the topic of this study is interesting to readers. However, some revisions of this article are necessary due to the following reasons:

 

There are many errors existing in equations. For instance, equation (2) is derived from equation (1), however, they are inconsistent. The author should recheck the equations in this article carefully.

 

The proofs of controllability and observability in Lemma 1 and Lemma 2 are unclear and should be rewritten.

 

In order to present the feasibility of the proposed technique, the analysis of real word data collected from experiments are necessary.

 

 

Other question and suggestion:

Equations (7), (11), (12) may exist typos. Equation (25) and (33) seems to be the same. Please check the equations carefully. In this article, the symbol H stands for two variables, the coefficient matrix of output existing in equation (55) and the pressure head. It will confuse the readers and should be avoid. In line 278, the authors state that “R and D are known as the covariance matrices ….”. However, the symbol D can’t be found in equations (57)-(62). Is it a typo? Could the proposed technique be used to solve the case which of the derivatives of blockage parameter lambda, z and Ab are zero?

Reviewer 2 Report

The modelling using Bernoulli's equation is interesting, but the general linearised model for that is not so good. You should analyse the dynamics of the omited term.

 

In real application, it is difficult to using extended Kalman filter observer for nonlinear case, namely the model (16), (50) etc. You should explain the accuracy of the proposed method.

 

   

Reviewer 3 Report

(1)The authors are suggested to compare the proposed methods with the original Kalman Filter observer and traditonal fault detection observer (residual-based)

(2) Different fault scenarios are required to simulate

(3)Section 6 should be significantly improved to clarify the performance of the proposed methods.

(4) The reviewer fails to get the blockage detection results.