Reviewer(s)' Comments to Author:
Comments to the Author
In this paper, the authors propose an interval weighting factor based approach to detection of faulty nodes in distributed networked systems. The proposed approach based on the analysis of node¡¯s behavior and using the BCH and CRC codes is able to determine the nodes¡¯ status. The effectiveness of the proposed approach is investigated in different conditions.
The authors stated that their proposed scheme based on the ¡°interval weighting factor¡± multiple times (including the title, keywords, and abstract), but it is not appropriate description about this factor. How is this factor calculated? Who will be calculated this factor?
The abstract in the current form is short and superficial, and do not point out significance and impact of the proposed method in numerical terms. It is recommended that the simulation tool, evaluation metrics, and simulation results briefly to be explained in the abstract.
The analysis of the related work is not sufficient. The authors should put more attention on the top and recent work about distributed fault detection techniques. Almost references are earlier than 2013, except for three papers ([1, 2, and 3]). On the other hand, there are some recent works on this topic. Just list some below for consideration.
1. F. Boem, R. M. G. Ferrari, C. Keliris, T. Parisini and M. M. Polycarpou, "A Distributed Networked Approach for Fault Detection of Large-Scale Systems," in IEEE Transactions on Automatic Control, vol. 62, no. 1, pp. 18-33, Jan. 2017.
2. E. Garcia, P. J. Antsaklis, L. A. Montestruque, Model-Based Control of Networked Systems, New York, NY, USA: Springer, 2014.
3. E. Noursadeghi, I. Raptis, "Distributed fault detection of nonlinear large-scale dynamic systems" in Proc. ACM/IEEE 6th Int. Conf. Cyber-Physical Systems, New York, USA: ACM, pp. 51-59, 2015, [online] Available: http://doi.acm.org/10.1145/2735960.2735981.
4. M. Davoodi, K. Khorasani, H. Talebi, H. Momeni, "Distributed fault detection and isolation filter design for a network of heterogeneous multiagent systems", IEEE Trans. Control Syst. Technol., vol. 22, no. 3, pp. 1061-1069, May 2014.
5. F. Arrichiello, A. Marino, F. Pierri, "Observer-based decentralized fault detection and isolation strategy for networked multirobot systems", IEEE Trans. Control Syst. Technol., vol. 23, no. 4, pp. 1465-1476, Jul. 2015.
6. W. Ding, Z. Mao, B. Jiang, W. Chen, "Fault detection for a class of nonlinear networked control systems with markov transfer delays and stochastic packet drops", Circuits Syst. Signal Process., vol. 34, no. 4, pp. 1211-1231, 2015.
7. Y. Wang, S. Xu, S. Zhang, "Fault detection for a class of nonlinear networked control systems with Markov sensors assignment and random transmission delays", J. Franklin Inst., vol. 351, no. 10, pp. 4653-4671, 2014.
8. F. Boem, R. M. Ferrari, T. Parisini, M. M. Polycarpou, "Optimal topology for distributed fault detection of large-scale systems", IFAC-PapersOnLine, vol. 48, no. 21, pp. 60-65, 2015.
9. V. Reppa, M. M. Polycarpou, C. G. Panayiotou, "Distributed sensor fault diagnosis for a network of interconnected cyberphysical systems", IEEE Trans. Control Netw. Syst., vol. 2, no. 1, pp. 11-23, Mar. 2015
10. Jiang, S., Zhang, X., Gu, B. et al. Reliable Fault Detection for Nonlinear Networked Systems with Imperfect Measurements: A Multi-Packet Transmission Mechanism, Circuits Syst Signal Process (2014) 33: 1153. doi:10.1007/s00034-013-9686-0
11. Ding, W., Mao, Z., Jiang, B. et al. Fault Detection for a Class of Nonlinear Networked Control Systems with Markov Transfer Delays and Stochastic Packet Drops, Circuits Syst Signal Process (2015) 34: 1211. doi:10.1007/s00034-014-9897-z
12. Xiaohua Ge, Fuwen Yang, Qing-Long Han, Distributed networked control systems: A brief overview, Information Sciences, Volume 380, 20 February 2017, Pages 117-131, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2015.07.047.
13. Yang Ge, Jingcheng Wang, Langwen Zhang, Bohui Wang, Chuang Li, Robust fault tolerant control of distributed networked control systems with variable structure, Journal of the Franklin Institute, Volume 353, Issue 12, 2016, Pages 2553-2575, ISSN 0016-0032, http://dx.doi.org/10.1016/j.jfranklin.2016.05.005.
The authors stated that they proposed scheme is the extended version of , but there are not any explanation of its advantages and disadvantages. Also, it is not clear the weighting factor role in the improvement of the proposed scheme in comparison to the basic method.
Also, some parts of the manuscript including Algorithm 1, Algorithm 2, equations 1, 5, and 6, and Figure 1 are copied from ref .
Moreover, in Section 3 the authors did describe their scheme but did not well discuss/prove the efficiency & novelty of that approach. The motivation and the methodology used is not clearly justified. The authors failed to address some scientific reasons. For example, place of SNR level is ambiguous in the proposed scheme. Where is applied? Which formula?
The BCH and CRC codes are error control techniques that are able to detect or correct the occurred error in the transmission media. These methods are based on the adding information redundancy to the transmitted packets and the receiver can do the error checking by analysis of these redundancy bits. These methods work correctly if and only if the both transmitter and receiver are not faulty. Therefore, how the proposed scheme can distinguish between transmission error and fault transmitter?
In addition, the simulation and theoretical analysis is not strong in this paper and leaves open a number of questions such as
1. Unfortunately, there is no information about the simulation experiments such as simulation tool/tools and simulation parameters in this manuscript.
2. Also, the proposed algorithm performances didn't compare to other algorithms. Therefore, I cannot judge the effectiveness of the simulation results.
3. There is not guidance for Figure 4(b).
4. Most of the horizontal and vertical axes of the charts are lack of unit.
5. There is not description about ¡®Rho¡¯ [Figure 4(a)] in this manuscript.
6. There is no discussion about how the misdetection rate is calculated.
7. It is not specified the parameter of the horizontal axis of figure 2.
In summary, I think the paper needs to be revised and a major revision needs to be done on this paper before publication. Overall, contributions are unclear and weak. Also, the presentation can be further improved.
Comments to the Author
Explanation about Fig. 4-(a) is required
How additional burden noise interference plays a role in fault detection? (both BCH and CRC)
Correlation between data treatment and Interval Weighting factor.
Simulation results should be discussed in the corresponding section.
Conclusion should give answers related to the objectives.
Editor's Comments to Author:
Comments to the Author:
This paper has been throughly reviewed and the reviewers (especially reviewer-1) found some strong points against the paper. Hence recommending to reject the paper.