Evolving Machine Intelligence Pty Ltd. (20240320394). System and method for modelling system behaviour simplified abstract
Contents
System and method for modelling system behaviour
Organization Name
Evolving Machine Intelligence Pty Ltd.
Inventor(s)
Nigel John Conrad Greenwood of Milton (AU)
System and method for modelling system behaviour - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320394 titled 'System and method for modelling system behaviour
The abstract describes a method for modeling system behavior of a physical system using electronic processing devices and quantified system data.
- Obtaining quantified system data measured for the physical system.
- Forming populations of model units with model parameters based on the quantified system data.
- Calculating solution trajectories for modeling system behavior.
- Determining fitness values based on solution trajectories.
- Selecting a combination of model units to create a collective model of the system behavior.
Potential Applications: - Predictive maintenance in industrial systems - Climate modeling for weather forecasting - Financial market analysis - Healthcare for patient monitoring and diagnosis
Problems Solved: - Improving accuracy of system behavior predictions - Enhancing decision-making based on modeling data - Optimizing system performance and efficiency
Benefits: - Increased reliability in system operation - Cost savings through proactive maintenance - Enhanced understanding of complex systems
Commercial Applications: Title: "Advanced System Modeling Technology for Predictive Maintenance" This technology can be applied in various industries such as manufacturing, energy, healthcare, and finance to improve operational efficiency and reduce downtime.
Prior Art: Researchers can explore existing patents related to system modeling, predictive maintenance, and data analysis to understand the evolution of this technology.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms, data analytics, and system modeling techniques to enhance the accuracy and efficiency of the proposed method.
Questions about System Modeling Technology: 1. How does this method compare to traditional system modeling approaches? - This method integrates quantified system data and fitness values to create a more accurate and dynamic model compared to static models used in traditional approaches.
2. What are the key challenges in implementing this technology in real-world systems? - Challenges may include data integration, model validation, and computational resources required for complex system behavior analysis.
Original Abstract Submitted
a method of modelling system behaviour of a physical system, the method including, in one or more electronic processing devices obtaining quantified system data measured for the physical system, the quantified system data being at least partially indicative of the system behaviour for at least a time period, forming at least one population of model units, each model unit including model parameters and at least part of a model, the model parameters being at least partially based on the quantified system data, each model including one or more mathematical equations for modelling system behaviour, for each model unit calculating at least one solution trajectory for at least part of the at least one time period; determining a fitness value based at least in part on the at least one solution trajectory; and, selecting a combination of model units using the fitness values of each model unit, the combination of model units representing a collective model that models the system behaviour.
