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Applied Sciences
Volume 12
Issue 17
10.3390/app12178637
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Article
Peer-Review Record

Storage Reliability Assessment Method for Aerospace Electromagnetic Relay Based on Belief Reliability Theory

Appl. Sci. 2022, 12(17), 8637; https://0-doi-org.brum.beds.ac.uk/10.3390/app12178637
by Qingshen Li, Yigang Lin *, Shoudong Wang, Shanshan Wang and Xiangou Zhu
Reviewer 1:
Satoshi Mizutani
Reviewer 2:
Srikanth Goud
Appl. Sci. 2022, 12(17), 8637; https://0-doi-org.brum.beds.ac.uk/10.3390/app12178637
Submission received: 4 August 2022 / Revised: 24 August 2022 / Accepted: 25 August 2022 / Published: 29 August 2022
(This article belongs to the Special Issue Reliability Techniques in Engineering Projects)

Round 1

Reviewer 1 Report

This paper proposed a new storage reliability assessment method for AEMR using uncertainty theory and belief reliability. I have some comments for this paper, and can recommend publishing this in Applied Sciences if the authors correct it following comments.

[1] Section 2.
Please cite the reference for 2.1 and 2.2.

[2] p. 6 line 222, and p.7 line 283
There is no need to locate the indent.

[3] p.7 line 259, 260
I think it is difficult to understand the sentence:
"The essence of inherent uncertainty is the inherent uncertainty of the object world, which can also be called random uncertainty."
Please explain it in more detail.

[4] p.7 line 276, 278 and equation (12)
Please explain about the normal uncertainty distribution, and check equation (12).

Author Response

please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

Storage Reliability Assessment Method for Aerospace Electro- 2 magnetic Relay Based on Belief Reliability Theory, which introduces the theory of belief reliability, a new theory in the field of reliability engineering. 11 Firstly, the margin degradation model of AEMR is established by combining the storage degrada- 12 tion mechanism analysis. Then, uncertainty theory is used to characterize the uncertainty of the 13 model parameters, and belief reliability model is established, is interesting however requires few modifications,

 

1. Rewrite the abstract very precisely 

2. A brief literature survey can be presented below introduction section which helps readers a lot

3. Detailed description of case study is needed in terms of comparative analysis

4. Reliability modelling frame must be improved

5. Experimental validation can be improved 

5. Quality of all figures and results must be improved.

6. Selected parameters data need to be provided 

 

Author Response

please see the attachment

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Authors had modified the paper with the suggestions made. Thank  you

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