Science Explorer Interactive view Map

Fault Detection and Control Systems

Fault Detection and Control Systems is a research topic within Control and Systems Engineering. Science Explorer counts 85k research works in it since 1950. 19.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of various data-driven and statistical techniques for process fault detection and diagnosis in industrial settings. It covers topics such as process monitoring, fault isolation, soft sensors, model-based diagnosis, and the use of machine learning in analyzing and improving industrial processes.

  • Process Monitoring
  • Fault Detection
  • Data-Driven Techniques
  • Statistical Analysis
  • Soft Sensors
  • Model-Based Diagnosis
  • Industrial Processes
  • Multivariate Statistical Methods
  • Fault Isolation
  • Machine Learning
Research works
85k
fractional, since 1950
In the world top 10%
16k
per year above
Top-10% rate
19.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+23%
the tick is no change

Which countries lead Fault Detection and Control Systems research?

By volume, China and the United States publish the most (8.2k and 1.9k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 8.2k works
  2. 2 United States 1.9k works
  3. 3 India 1.1k works
  4. 4 Germany 689 works
  5. 5 France 512 works
  6. 6 United Kingdom 470 works
  7. 7 Italy 438 works
  8. 8 South Korea 372 works
  9. 9 Canada 363 works
  10. 10 Japan 332 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 57.1%United States: 13.3%India: 7.4%Germany: 4.8%6 others listed: 17.4%57%largest
China8,162 · 57.1%United States1,896 · 13.3%India1,050 · 7.4%Germany689 · 4.8%6 others listed2,487 · 17.4%

Shares of the rows listed above, not of the whole node.

Which institutions lead Fault Detection and Control Systems research?

By volume in 2022–2025, Northeastern University publishes the most Fault Detection and Control Systems research, followed by Harbin Institute of Technology and Shanghai Jiao Tong University.

Who are the leading researchers in Fault Detection and Control Systems?

The most-cited researchers publishing on Fault Detection and Control Systems include Frede Blaabjerg and H. Vincent Poor.

  1. 1 Frede Blaabjerg Denmark 12k citations
  2. 2 H. Vincent Poor United States 9.5k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Fault Detection and Control Systems research done?

The largest centres of Fault Detection and Control Systems research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Shenyang, Hangzhou and Gabès.

Largest cities, 2022–2025

  1. 1 Beijing China 1.5k works
  2. 2 Shanghai China 632 works
  3. 3 Xi'an China 549 works
  4. 4 Nanjing China 443 works
  5. 5 Wuhan China 326 works
  6. 6 Harbin China 324 works
  7. 7 Hangzhou China 316 works
  8. 8 Shenyang China 294 works
  9. 9 Changsha China 262 works
  10. 10 Chengdu China 231 works

Where it is the local speciality

  1. Shenyang20.6 works29×
  2. Hangzhou59.9 works22×
  3. GabèsTN · 29.6 works21×
  4. Idaho FallsUS · 26.8 works12×
  5. AnshanCN · 29.8 works10×
← less than its size predictsmore →

Location quotient: how much more of its research is in Fault Detection and Control Systems than the world average.

See Fault Detection and Control Systems on the map

Where is the best place to study Fault Detection and Control Systems?

Among universities, judged by research, Northeastern University, Shandong University of Science and Technology and Xi'an Jiaotong University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 26.26%fractional works in this node (log) →share in the world top 10% →Northeastern University: 165, 24.3%Shandong University of Science and Technology: 70, 21.9%Xi'an Jiaotong University: 152, 33.4%East China University of Science and Technology: 81, 25.9%Yanshan University: 53, 33.5%Beijing University of Chemical Technology: 86, 18.8%Beihang University: 151, 23.2%Harbin Engineering University: 84, 25.1%University of Science and Technology Beijing: 88, 23.2%Chongqing University: 99, 33.3%Xi'an Jiaotong Unive…East China Universit…Northeastern Univers…Shandong University …
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Northeastern UniversityChina 68.024.3%10.4×165 +33.1%
2 Shandong University of Science and TechnologyChina 64.921.9%8.0×70 +642.1%
3 Xi'an Jiaotong UniversityChina 62.233.4%5.2×152 +35.5%
4 East China University of Science and TechnologyChina 61.725.9%9.0×81 +32.6%
5 Yanshan UniversityChina 61.033.5%8.7×53 -7.3%
6 Beijing University of Chemical TechnologyChina 60.618.8%10.9×86 +50.3%
7 Beihang UniversityChina 60.423.2%7.5×151 +35.5%
8 Harbin Engineering UniversityChina 59.625.1%9.0×84 +8.6%
9 University of Science and Technology BeijingChina 58.223.2%6.2×88 +118.2%
10 Chongqing UniversityChina 57.633.3%5.0×99 +16.5%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Fault Detection and Control Systems research growing?

Output in 2018–2022 was 23% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Fault Detection and Control Systems.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.