Retraction
Fault Diagnosis Method for Wind Power Equipment Based on Hidden Markov Model
Paper Information
Record ID:
47198
Author(s):
Journal:
Publication Date:
April 14, 2022
Retraction Date:
June 28, 2023
(2.4 years years ago)
Subjects:
Institution:
Department of Mechanical Engineering, Shenyang Institute of Engineering, Shenyang 110136, ChinaCountry:
🇨🇳 ChinaArticle Type:
Publisher:
Hindawi
Open Access:
Yes
DOI:
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (5)
5
Total Citations1
Post-Retraction(20.0%)
2
Pre-Retraction1
Same DayPost-Retraction Citation Analysis
0
Within 30 days
1
Within 1 year
0
After 2+ years
40
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Machine condition change detection based on data segmentation using a three-regime, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si213.svg" display="inline" id="d1e2619"><mml:mi>α</mml:mi></mml:math>-stable Hidden Markov Model
Joanna Janczura, Tomasz Barszcz, Radosław Zimroz et al. (4 authors)
Measurement
Published: Aug 2023
12 citations
12 citations
40 days after retraction
Retracted: Fault Diagnosis Method for Wind Power Equipment Based on Hidden Markov Model
Wireless Communications and Mobile Computing
Wireless Communications and Mobile Computing
Open Access
Published: Jun 2023
Same day as retraction
A wireless sensor network node fault diagnosis model based on belief rule base with power set
Guo-Wen Sun, Wei He, Hailong Zhu et al. (6 authors)
Heliyon
Open Access
Published: Oct 2022
14 citations
14 citations
270 days before retraction
Analysis and System Design of Mechanical Fault Diagnosis Based on Deep Neural Network
Keqin Zhao
Mathematical Problems in Engineering
Open Access
Published: Aug 2022
1 citation
1 citation
331 days before retraction
Quick Stats
Total Citations:
11
Years Since Retraction:
2.4 years
Open Access:
Yes
Last Checked:
Jul 24, 2025