Machine Fault Diagnosis Techniques

This cluster of papers focuses on machine fault diagnosis and prognostics using methods such as Empirical Mode Decomposition, wavelet transform, and deep learning. It covers topics like condition monitoring, vibration analysis, and remaining useful life estimation for rotating machinery. The research explores the application of machine learning techniques, neural networks, and signal processing in fault detection and health management of various mechanical systems.

Journals publishing in this area

1

Mechanical Systems and Signal Processing

ISSN 0888-32702,079 articles in this topic

242h-index

7.44Impact

12.8KArticles

555KCitations

2

IEEE Transactions on Instrumentation and Measurement

ISSN 0018-94561,460 articles in this topic

195h-index

3.74Impact

28.2KArticles

542.8KCitations

3

Applied Sciences

Applied Sciences

ISSN 2076-3417893 articles in this topic

215h-index

2.93Impact

86.6KArticles

1MCitations

4

IEEE Transactions on Industrial Electronics

ISSN 0278-0046714 articles in this topic

386h-index

3.82Impact

21.7KArticles

1.4MCitations

5

IEEE Sensors Journal

IEEE Sensors Journal

ISSN 1530-437X712 articles in this topic

197h-index

3.30Impact

31.1KArticles

595.8KCitations

6

IEEE Transactions on Industry Applications

ISSN 0093-9994553 articles in this topic

280h-index

3.20Impact

17.5KArticles

665.7KCitations

7

IEEE Transactions on Industrial Informatics

ISSN 1551-3203478 articles in this topic

252h-index

6.20Impact

9.9KArticles

490.7KCitations

8

International Journal of Electrical and Data Communication

ISSN 2708-39692 articles in this topic

1h-index

0.05Impact

42Articles

2Citations

9

International Journal of Research in Advanced Electronics Engineering

ISSN 2708-45581 articles in this topic

1h-index

0.16Impact

48Articles

7Citations

10

International journal of automobile engineering.

ISSN 2707-82051 articles in this topic

1h-index

0.10Impact

31Articles

3Citations

11

International journal of machine tools and maintenance engineering.

ISSN 2707-45441 articles in this topic

1h-index

0.11Impact

31Articles

3Citations