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Fig. 14. Various applications of the slewing bearings [197].

Figure 14 Various applications of the slewing bearings [197].

Related Figures (14)

‘ig. 1. Typical predicted curve of a failure progression over time.
‘ig. 1. Typical predicted curve of a failure progression over time.
CHARACTERISTIC, ADVANTAGES, AND DISADVANTAGES OF VARIOUS PROGNOSIS GROUPS TABLE I
CHARACTERISTIC, ADVANTAGES, AND DISADVANTAGES OF VARIOUS PROGNOSIS GROUPS TABLE I
Fig.4. A prognosis system using adaptive hidden semi-Markov model [112]. Algorithm 2: Bayesian Method for Predicting RUL [105].
Fig.4. A prognosis system using adaptive hidden semi-Markov model [112]. Algorithm 2: Bayesian Method for Predicting RUL [105].
Fig. 5. Data driven prognosis method using the signal processing [122].
Fig. 5. Data driven prognosis method using the signal processing [122].
Fig. 6. Possible hybrid methods using various combinations of prognostic approaches [22].
Fig. 6. Possible hybrid methods using various combinations of prognostic approaches [22].
Fig. 7. Flowchart of a hybrid prognostic system using a signal processing and deep learning methods [125].
Fig. 7. Flowchart of a hybrid prognostic system using a signal processing and deep learning methods [125].
Fig. 8. Block diagram of the RUL prediction method [175].
Fig. 8. Block diagram of the RUL prediction method [175].
Fig. 9. Prognostic approach using the SVR and the PF methods [175].
Fig. 9. Prognostic approach using the SVR and the PF methods [175].
Fig. 10. | Block diagram of the SoC and the SoH joint estimations and RUL predictions [178].
Fig. 10. | Block diagram of the SoC and the SoH joint estimations and RUL predictions [178].
Fig. 11. Block diagram of the ANFIS prognosis method [192].
Fig. 11. Block diagram of the ANFIS prognosis method [192].
Fig. 12. Procedure for predicting the RUL of the bearing [195].
Fig. 12. Procedure for predicting the RUL of the bearing [195].
Fig. 13. Flowchart of the RUL prediction for bearings [196].
Fig. 13. Flowchart of the RUL prediction for bearings [196].
Fig. 15. Block diagram of the prognosis method for MFS system [27].
Fig. 15. Block diagram of the prognosis method for MFS system [27].
Related topics:
Computer ScienceCondition MonitoringFailure DiagnosisFailure AnalysisPrognosis and health managementCondition monitoring and fault diagnosis of electric machinerySafety Critical SystemsRemaining Useful Life EstimationElectrical and Electronic Engineering
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