Observation position selection model for distributed dynamic load identification to minimize error

Key Points

• Minimizing error in distributed dynamic load identification can significantly enhance measurement accuracy.
• Key evidence shows that the observation position plays a crucial role in reducing overall identification error.
• The approach includes a model for selecting optimal observation positions based on dynamic load scenarios.
• This framework highlights the importance of precise positioning to improve load identification accuracy in practical applications.