The DOI matches its Crossref record.
Methods of Motor Current Signature Analysis
Abstract
Recently a technique for monitoring and diagnosing mechanical problems, associated with rotating machines driven by electric motors, has been proposed and is now being offered by several commercial suppliers. This technique, known as “Motor Current Signature Analysis” or MCSA, seeks to apply much of the long experience in vibration signature analysis to the analysis of motor current in effect using the motor as a sensor akin to an acceleromeier This paper explores some of the history of the technique, presents several examples, and demonstrates a first order approach to the theory with associated cautions.
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
Cited by
Advances in Diagnostic Techniques for Induction Machines
Bellini, A., Filippetti, F., Tassoni, C., & Capolino, G.-A. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2007527 · Cited by 1,140
Faiz, J., & Mazaheri-Tehrani, E. (2017) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2016.2608950 · Cited by 207
Rajagopalan, S., Roux, W. L., Habetler, T. G., & Harley, R. G. (2007) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2007.904183 · Cited by 164
Speed/position sensor fault tolerant control in adjustable speed drives – A review
Bourogaoui, M., Sethom, H. B. A., & Belkhodja, I. S. (2016) · ISA Transactions · doi:10.1016/j.isatra.2016.05.003 · Cited by 67
Detecting faults in rotors of PM drives
Roux, W., Harley, R., & Habetler, T. (2008) · IEEE Industry Applications Magazine · doi:10.1109/mia.2007.915789 · Cited by 48
Metadata
- Authors
- Kliman, G. B., & Stein, J.
- Venue
- Electric Machines & Power Systems
- Publisher
- Informa UK Limited
- Published
- 1992-09
- Volume
- 20
- Issue
- 5
- Pages
- 463-474
- ISSN
- 0731-356X (ISSN-L)
- OpenAlex
- W2071846694
- Cited by
- 330
- References
- 0
- FWCI
- 1.72
- Type
- journal article
- Language
- en
- Open access
- closed
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: Methods of Motor Current Signature Analysis. https://app.cochat.ai/papers/10.1080/07313569208909609
- The paper
- Kliman, G. B., & Stein, J. (1992). Methods of Motor Current Signature Analysis. Electric Machines & Power Systems. https://doi.org/10.1080/07313569208909609
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.