Abstract
In this research work, an advanced wireless communication-based crank slider mechanism for multiparameter friction techniques is analyzed. The earlier models are unable to find exact friction; therefore, a correct crank function cannot be identified. The dynamic crank sliding mechanism is required for advanced mechanical applications. The available models are not suitable for future mechanical exhibiting. In this work, an SVM-based crank slider with a dynamic friction model is implemented. The SVM mathematical technique continually balances dynamic modeling with friction balancing. Finally, the controller/observer methods showed effective numerical outcomes. The variables of the system are analyzed, noting the mistakes and the estimations that are made. The performance measures accuracy of 98.45%, sensitivity of 97.34%, crank slider of 96.34%, and recall at 97.34%.
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