Study of Blockage Diagnosis for Hydrocyclone Using Vibration-Based Technique Based on Wavelet Denoising and Discrete-Time Fourier Transform Method

Round 1

Reviewer 1 Report

Manuscript processes-754823 describes important investigation on remote detection of faults in the industrial installations. In the paper specifically the case of hydrocyclone was examined. This kind of study is important for industrial applications as techniques based on analysis of signals coming directly from the equipment allows early detection of possible problems.

The manuscript is generally good-written and I can recommend to publish it after the following minor remarks will be included:

Definition of cyclone blockage degree is not provided in the manuscript. What does it mean that it was 50% and 100% blockage? With respect to which parameter blockage degree was defined?

In several parts of the text Table 2 is referred as Table 1, e.g.:
- 3rd line of paragraph 3.1
- 4th line of paragraph 3.2

Author Response

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Author Response File: Author Response.docx

Reviewer 2 Report

Study of blockage diagnosis for hydrocyclone using vibration-based technique based on wavelet denoising and discrete-time Fourier transform method is very interesting paper.

Small improvements are required:

1. At Figures 2 at x-axis please to write Frequency, Hz instead Frequency, HZ
2. What is the meaning of the unit for Amplitude? (g- gram?)
3. At figure 4.a, please to replace (a) to right side
4. At Fig. 4b the kurtosis value at y-axis has no unit. Why?
5. Standard equation was shown via Eq. (6). What is value for Parameter n in your work

General questions:

1. How many experiments and repetitions did you perform in order to confirm your developed on-line blockage diagnose
2. Your strategy was applied in lab-conditions. CAn you Transfer it in scale up conditions (1-10 t)

Author Response

Please see the attachment.

Author Response File: Author Response.docx