# Fault Diagnosis of Rotating Electrical Machines Using Multi-Label Classification
## 6 Conclusions
Intell._**2018**, _73_, 68-79. [CrossRef]
* (63) [PERSON] _Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines_; Oxford University Press: Oxford, UK, 1993; Volume 27. * (64) [PERSON]; [PERSON]; [PERSON]; [PERSON] A generic framework for decision fusion in fault detection and diagnosis. _Eng. Appl. Artif. Intell._**2018**, _71_, 73-86. [CrossRef]
* (65) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Methodology for fault detection in induction motors via sound and vibration signals. _Mech. Syst. Signal Process._**2017**, _83_, 568-589. [CrossRef]
* (66) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Fuzzy fault isolation using gradient information and quality criteria from system identification models. _Inf. Sci._**2015**, _316_, 18-39. [CrossRef]* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON] Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters. _Appl. Soft Comput._**2017**, _51_, 60-82. [CrossRef]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] [PERSON] Fault detection and isolation based on fuzzy-integral fusion approach. _IET Sci. Meas. Technol._**2019**, _13_, 296-302. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A data-driven ground fault detection and isolation method for main circuit in railway electrical traction system. _ISA Trans._**2019**, _87_, 264-271. [CrossRef]
* [PERSON] and [PERSON] (2018) [PERSON]; [PERSON] Residual selection for fault detection and isolation using convex optimization. _Automatica_**2018**, _97_, 143-149. [CrossRef]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation. _IEEE Trans. Control. Syst. Technol_**2019**, _27_, 616-630. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Nominal features-based class specific learning model for fault diagnosis in industrial applications. _Comput. Ind. Eng._**2018**, _116_, 163-177. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Sensitivity-based fault detection and isolation algorithm for road vehicle chassis sensors. _Sensors_**2018**, _18_, 2720. [CrossRef] [PubMed]
* [PERSON] et al. (2019) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Extreme learning machine-based non-linear observer for fault detection and isolation of wind turbine. _Aust. J. Electr. Electron. Eng._**2019**, _16_, 12-20. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] High impedance fault detection and isolation in power distribution networks using support vector machines. _J. King Saud Univ. Eng. Sci._**2019**, [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] Modeling and fault diagnosis design for HVAC systems using recurrent neural networks. _Comput. Chem. Eng._**2019**, 189-203. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Long short-term memory neural network based fault detection and isolation for electro-mechanical actuators. _Neurocomputing_**2019**. [CrossRef]
* [PERSON] and [PERSON] (2018) [PERSON]; [PERSON] Fault diagnosis of a wind turbine benchmark via statistical and support vector machine. _Int. J. Eng. Res. Afr._**2018**, _37_, 29-42. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] On the application of interval PCA to process monitoring: A robust strategy for sensor FDI with new efficient control statistics. _J. Process. Control._**2018**, _63_, 29-46. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] Online fault detection and isolation of an AIR quality monitoring network based on machine learning and metaheuristic methods. _Int. J. Adv. Manuf. Technol._**2018**, _99_, 2789-2802. [CrossRef]
* [PERSON] (2018) [PERSON] [PERSON]; [PERSON] [PERSON] A methodology for monitoring smart buildings with incomplete models. _Appl.