Application of Sensors for Incorrect Behavior Identification in a Transport System
Round 1
Reviewer 1 Report
The author presented simulation and experimental results for detection of bridge crane skewing, based on strain gauge sensors attached to the crane beam. The stated technical problem (avoidance of the skewing) has sufficient practical significance and the proposed method of addressing it by using strain gauge sensors is a viable one. Although the value of the paper could be improved by adding results of the actual implementation of the proposed drive control algorithm (i.e. by demonstrating experimentally that excessive strain can be successfully counteracted even in skewing-prone conditions), it may be of sufficient interest to journal readers also in its present form. A few specific points of attention:
1. Axis labels in the figures need to be translated to English.
2. Fig. 16 shows essentially the same data that was already presented in Figs. 6b and 13b. The authors might consider including the simulation results already in Fig. 13b as a background for the presented experimental data, and reference that figure in the text of section 4 (Discussion).
Author Response
- Axis labels in the figures need to be translated to English.
We accept your comment. Axis labels was corrected.
- Fig16 shows essentially the same data that was already presented in Figs. 6b and 13b. The authors might consider including the simulation results already in Fig. 13b as a background for the presented experimental data, and reference that figure in the text of section 4 (Discussion).
We accept your comment. The text has been corrected according to the comments and Figure 16 has been removed.
Reviewer 2 Report
This paper discusses the methodology and data processing used to investigate crane skewing measurements. It was found that a suitable application of the measuring sensors, together with utilization of a drive control algorithm were able to efficiently eliminate crane skewing. A decent work although I have a few comments.
1. In the caption of Figure 2 please mention what the variables are.
2. In Figure 3, could the authors label where the wear is on the crane wheels and track rails?
3. Please increase the font size on the color bar in Figure 4 as it is very hard to read.
4. Was a particular model used for the finite element method?
5. Please label important objects in Figure 7.
6. I do not understand the significance of Figure 9.
Author Response
- In the caption of Figure 2 please mention what the variables are.
We accept your comment. In the caption of Figure 2 was added the variables
- In Figure 3, could the authors label where the wear is on the crane wheels and track rails?
We accept your comment. Labels indicating wear was added to the Figure 3.
- Please increase the font size on the color bar in Figure 4 as it is very hard to read.
We accept your comment. Figure 4 was modified.
- Was a particular model used for the finite element method?
The computational 3D model used for the finite element method was created according to the shape and dimensions of the real laboratory crane.
The following sentence was added to the article:” This model was created according to the shape and dimensions of the real crane installed in laboratory.”
- Please label important objects in Figure 7.
We accept your comment. In Figure 7 was added important labels
- I do not understand the significance of Figure 9.
We accept your comment. The Figure 9 was removed.
