Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-4 of 4
Keywords: Fault diagnosis
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Model- and data-based fault diagnosis of torque sensors: current status and trends
Available to Purchase
Journal:
Sensor Review
Sensor Review (2026) 46 (3): 336–349.
Published: 04 March 2026
...Yanling Guo; Zongsheng Wang; Zhipeng Li; Mengwei Wang; Tianyu Liu Purpose This study aims to summarize the latest achievements in torque sensor fault diagnosis and provides the latest theoretical reference and practical guidance to ensure the safety and reliability of torque sensors. Design...
Journal Articles
Robust adaptive deep stochastic configuration network for bearing fault diagnosis in noisy environments
Available to Purchase
Journal:
Sensor Review
Sensor Review (2026) 46 (4): 505–520.
Published: 03 December 2025
... signals and training labels are often contaminated by noise, resulting in globally noisy training data and degraded performance of data-driven models. The purpose of this study is to develop an effective model to improve the accuracy and robustness of bearing fault diagnosis in noisy environments...
Journal Articles
Cantilever enhanced based photoacoustic detection of SF6 decomposition component SO2 using UV LED
Available to Purchase
Journal:
Sensor Review
Sensor Review (2022) 42 (1): 70–75.
Published: 07 December 2022
... for the application of PAS in insulation fault diagnosis. Originality/value This work investigated the potential of using ultraviolet photoacoustic spectroscopy to detect trace SO2, which provided an ideal replacement of infrared-laser-based detection system. In this paper, a photoacoustic detection...
Journal Articles
Fault detection and diagnosis using vibration signal analysis in frequency domain for electric motors considering different real fault types
Available to Purchase
Journal:
Sensor Review
Sensor Review (2021) 41 (3): 311–319.
Published: 09 July 2021
... and historical measurements of one or more parameters such as vibration, temperature, electric current, pressure and acoustic emission to analyze the eminence of a fault or detect an existing fault (Randal, 2011 ; Al‐Najjar, 2012). Signal processing Condition monitoring Spectral analysis Fault diagnosis...
