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Article
Peer-Review Record

Sustainability Analysis of a ZnO-NaCl-Based Capacitor Using Accelerated Life Testing and an Intelligent Modeling Approach

Sustainability 2021, 13(19), 10736; https://doi.org/10.3390/su131910736
by Pardeep Kumar Sharma 1, Cherry Bhargava 2,* and Ketan Kotecha 3,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Sustainability 2021, 13(19), 10736; https://doi.org/10.3390/su131910736
Submission received: 26 August 2021 / Revised: 21 September 2021 / Accepted: 22 September 2021 / Published: 27 September 2021
(This article belongs to the Special Issue Sustainable and Advanced Remanufacturing Processes)

Round 1

Reviewer 1 Report

  • Most of figures must be improved with better resolution.
  • Regression equations (3-5): what kind of regression equations is used? How to validate the accuracy of those equation?
  • ANN model should be given more details: type of training algorithm, number of hidden layers, number of nodes, activation function type. Why are they are chosen.

This is an interesting research  on estimation of remaining useful life of a nanocomposite 13 based fabricated capacitor, using various experimental and artificial intelligence techniques.  Overall structure is organized well. 

Author Response

Query:

Most of figures must be improved with better resolution.

Reply: Resolution of all the figures is improved.

Query:

Regression equations (3-5): what kind of regression equations is used? How to validate the accuracy of those equation?

Reply: These are linear regression, which governs the accurate relationship between remaining useful life of capacitor and acceleration factors. This statistical model is verified using accelerated life testing, an experimental technique.

Query:

ANN model should be given more details

Reply: Artificial neural networks are used to estimate the reuse potential of fabricated capacitor using intelligent methods. The ANN 5-10-1 model is used, having five input layers, 10 hidden layers and one output layer. This expert model is trained and tested for the 16 set of trials and lifetime is estimated. The remaining useful lifetime estimated using ALT is validated and statistical technique has average 6.17% error whereas ANN has 4.18% average error.

Reviewer 2 Report

Dear Authors,

In overall, a very good manuscript. My only recommendation to you is to improve the title of the manuscript by being very specific of the type of fabricated capacitor.

Figure 2 and Figure 4 are not clear at the right resolution. Authors are asked to make sure figures are at the right resolution for clarity.

Instead of Acronyms at the end, authors are asked to give full nomenclature.

 

Author Response

This is an interesting research  on estimation of remaining useful life of a nanocomposite based fabricated capacitor, using various experimental and artificial intelligence techniques.  Overall structure is organized well. In overall, a very good manuscript. My only recommendation to you is to improve the title of the manuscript by being very specific of the type of fabricated capacitor. Figure 2 and Figure 4 are not clear at the right resolution. Authors are asked to make sure figures are at the right resolution for clarity. Instead of Acronyms at the end, authors are asked to give full nomenclature.

Reply: As per suggestion, the title of manuscript is revised and all the figures are redrawn with enhanced resolution.

Reviewer 3 Report

Dear Authors, The manuscript presents study on the Sustainability Analysis of a Fabricated Capacitor using Accelerated Life Testing and Intelligent Modelling. The paper need moderate modification. My comments are as follows: The abstract should be revised to be more consistent in form and do not contain parts of text that belongs to introduction. The Figures should be restructured as some parts can not be read, such as Figure 1 (Tab 4). I suggest to correct all the Figures among the manuscript. Also the colours are not very attractive so I recommend to modify it accordingly. Acronyms are not necessary to be listed at the end of the manuscript, so I suggest to delete it.

Author Response

Dear Authors, The manuscript presents study on the Sustainability Analysis of a Fabricated Capacitor using Accelerated Life Testing and Intelligent Modelling. The paper need moderate modification. My comments are as follows:

Query:

The abstract should be revised to be more consistent in form and do not contain parts of text that belongs to introduction.

Reply: Abstract is modified, as per suggestion

Query:

The Figures should be restructured as some parts can not be read. I suggest to correct all the Figures among the manuscript. Also the colours are not very attractive so I recommend to modify it accordingly. Acronyms are not necessary to be listed at the end of the manuscript, so I suggest to delete it.

Reply: All the figures are redrawn with enhanced resolution. As per suggestion, acronyms at the last, are removed.

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