| Title |
A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing
|
|---|---|
| Published in |
Chinese Journal of Mechanical Engineering, October 2017
|
| DOI | 10.1007/s10033-017-0189-y |
| Authors |
Si-Yu Shao, Wen-Jun Sun, Ru-Qiang Yan, Peng Wang, Robert X Gao |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 24% |
| Student > Master | 19 | 14% |
| Student > Bachelor | 11 | 8% |
| Researcher | 7 | 5% |
| Student > Doctoral Student | 5 | 4% |
| Other | 14 | 11% |
| Unknown | 44 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 50 | 38% |
| Computer Science | 19 | 14% |
| Business, Management and Accounting | 4 | 3% |
| Chemical Engineering | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 7 | 5% |
| Unknown | 48 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2024.
All research outputs
#3,745,289
of 25,177,382 outputs
Outputs from Chinese Journal of Mechanical Engineering
#5
of 64 outputs
Outputs of similar age
#66,349
of 334,453 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#1
of 2 outputs
Altmetric has tracked 25,177,382 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 64 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,453 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them