The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Orthonormal bases of compactly supported wavelets
Daubechies, I. (1988) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.3160410705 · Cited by 8,190
A general regression neural network
Specht, D. F. (1991) · IEEE Transactions on Neural Networks · doi:10.1109/72.97934 · Cited by 4,492
FEATURE EXTRACTION BASED ON MORLET WAVELET AND ITS APPLICATION FOR MECHANICAL FAULT DIAGNOSIS
LIN, J., & QU, L. (2000) · Journal of Sound and Vibration · doi:10.1006/jsvi.2000.2864 · Cited by 879
Wavelet neural networks for function learning
Zhang, J., Walter, G. G., Miao, Y., & Lee, W. N. W. (1995) · IEEE Transactions on Signal Processing · doi:10.1109/78.388860 · Cited by 716
Time-frequency representation of digital signals and systems based on short-time Fourier analysis
Portnoff, M. (1980) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1980.1163359 · Cited by 656
Probabilistic neural networks for classification, mapping, or associative memory
Specht (1988) · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks · doi:10.1109/icnn.1988.23887 · Cited by 583
Wavelet packet feature extraction for vibration monitoring
Yen, G. G., & Lin, K.-C. (2000) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.847906 · Cited by 545
Rolling element bearing fault diagnosis using wavelet packets
Nikolaou, N. G., & Antoniadis, I. A. (2002) · NDT & E International · doi:10.1016/s0963-8695(01)00044-5 · Cited by 377
Staszewski, W. J., Worden, K., & Tomlinson, G. R. (1997) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.1997.0102 · Cited by 329
Application of discrete wavelet transform for detection of ball bearing race faults
Prabhakar, S., Mohanty, A. R., & Sekhar, A. S. (2002) · Tribology International · doi:10.1016/s0301-679x(02)00063-4 · Cited by 307
Research works printed but not linked: 10
- Andria, 1994, Application of Wigner Ville distribution to measurements on transient signals, IEEE Transactions on Instrumentation and Measurement, 43, 187, 10.1109/19.293418 · doi:10.1109/19.293418
- Chen, 2005, Fault diagnosis for large-scale wind turbine rolling bearing using stress wave and wavelet analysis, ICEMS 2005 Proceedings of the Eighth International Conference on Electrical Machines and Systems, 3, 2239, 10.1109/ICEMS.2005.202966 · doi:10.1109/icems.2005.202966
- Corinthios, 1971, A fast Fourier transform for high-speed signal processing, IEEE Transactions on Computers, C20, 843, 10.1109/T-C.1971.223359 · doi:10.1109/t-c.1971.223359
- Hu, 2005, Classification of surface EMG signal using relative wavelet packet energy, Computer Methods and Programs in Biomedicine, 79, 189, 10.1016/j.cmpb.2005.04.001 · doi:10.1016/j.cmpb.2005.04.001
- Li, 2004, Bearing fault detection via wavelet packet transform and rough set theory, Proceedings of Fifth World Congress on Intelligent Control and Automation, 2, 1663, 10.1109/WCICA.2004.1340953 · doi:10.1109/wcica.2004.1340953
- Liu, 2000, Fault diagnosis for diesel engines by wavelet packet analysis of vibration signal measured on cylinder head, Journal of Vibration Engineering, 13, 577
- Meng, 2004, Application of frequency band energy decomposition using wavelet packet in condition monitoring of circuit breakers, Journal of Xi’ An Jiaotong University, 38, 1013
- Ortiz, 2006, Support vector machines and wavelet packet analysis for fault detection and identification, IJCNN 06. International Joint Conference on Neural Networks, 3449
- Wu, 2004, An application of a recursive Kalman filtering algorithm in rotating machinery fault diagnosis, NDT & E International, 37, 411, 10.1016/j.ndteint.2003.11.006 · doi:10.1016/j.ndteint.2003.11.006
- Yibin, 2005, A predictive model of nonlinear system based on generalized regression neural network, ICNN&B 05 International Conference on Neural Networks and Brain, 3, 2009, 10.1109/ICNNB.2005.1615018 · doi:10.1109/icnnb.2005.1615018
Cited by
Applications of machine learning to machine fault diagnosis: A review and roadmap
Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106587 · Cited by 2,997
Review of Automatic Fault Diagnosis Systems Using Audio and Vibration Signals
Henriquez, P., Alonso, J. B., Ferrer, M. A., & Travieso, C. M. (2014) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmcc.2013.2257752 · Cited by 314
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
Hariharan, M., Fook, C. Y., Sindhu, R., Adom, A. H., & Yaacob, S. (2013) · Digital Signal Processing · doi:10.1016/j.dsp.2012.12.003 · Cited by 26
Metadata
- Authors
- Wu, J.-D., & Liu, C.-H.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 36
- Issue
- 3
- Pages
- 4278-4286
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W1979539910
- Cited by
- 289
- References
- 17
- FWCI
- 23.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network. https://app.cochat.ai/papers/10.1016/j.eswa.2008.03.008
- The paper
- Wu, J.-D., & Liu, C.-H. (2009). An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2008.03.008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.