Signal Processing For Diagnostics
Signal Processing for Diagnostics is a computational methodology that belongs to the class of diagnostic techniques and is specifically distinguished by its use of mathematical and algorithmic transformations of sensor-derived signals to extract fault indicators, enable feature identification, and support decision-making in the assessment of engine, hybrid vehicle, and powertrain system health.
531
Publications
21.9K
Citations
1.6K
Authors
487
Institutions
Publications per year
2017–2026
280
531
Suhail Khokhar, Abdullah Asuhaimi bin Mohd Zin, Ahmad Safawi Mokhtar et al. · Renewable and Sustainable Energy Reviews · 2015 · 256 citations
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487

Xi'an Jiaotong University
Xi'an, China
21 h-index
72 publications
4.4K citations

Southwest Jiaotong University
Chengdu, China
14 h-index
65 publications
2.3K citations
Beijing Jiaotong University
Beijing, China
12 h-index
35 publications
1.5K citations
Tsinghua University
Beijing, China
12 h-index
30 publications
1.5K citations

Hunan University
Changsha, China
10 h-index
34 publications
2.1K citations

Harbin Institute of Technology
Harbin, China
9 h-index
26 publications
822 citations
Tianjin University
Tianjin, China
8 h-index
22 publications
1.2K citations

Beijing University of Chemical Technology
Beijing, China
8 h-index
27 publications
1K citations
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MSSP · 23 publications · 1.9K citations
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24 publications · 1.1K citations
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24 publications · 795 citations
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16 publications · 951 citations
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15 publications · 556 citations
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