Toyota jidosha kabushiki kaisha (20240257585). VEHICLE DIAGNOSTIC SYSTEM simplified abstract
Contents
VEHICLE DIAGNOSTIC SYSTEM
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Hideaki Bunazawa of Nagoya-shi (JP)
Shintaro Mukogawa of Nagoya-shi (JP)
Rikako Zenibana of Toyota-shi (JP)
VEHICLE DIAGNOSTIC SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240257585 titled 'VEHICLE DIAGNOSTIC SYSTEM
Simplified Explanation: The vehicle diagnostic system described in the patent application uses a learned model to analyze sound data from vehicles with different types of anomalies, clustering the data and calculating loss variables to diagnose potential issues in a target vehicle.
Key Features and Innovation:
- Utilizes a learned model to analyze sound data from vehicles with different anomalies.
- Clusters data and calculates loss variables for each type of anomaly.
- Diagnoses potential issues in a target vehicle by comparing loss variables against cluster data.
Potential Applications: The technology can be used in various industries such as automotive, transportation, and manufacturing for predictive maintenance and fault detection in vehicles.
Problems Solved:
- Efficiently diagnose potential issues in vehicles using sound data analysis.
- Improve maintenance processes by predicting and preventing failures before they occur.
Benefits:
- Enhances vehicle safety and reliability.
- Reduces maintenance costs and downtime.
- Increases overall operational efficiency.
Commercial Applications: Predictive maintenance solutions for automotive manufacturers, fleet management companies, and transportation services to improve vehicle performance and reduce maintenance expenses.
Prior Art: Researchers can explore similar technologies in the field of predictive maintenance, anomaly detection, and machine learning models for sound data analysis.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for predictive maintenance, anomaly detection techniques, and sound data analysis in the automotive industry.
Questions about Vehicle Diagnostic System: 1. How does the learned model in the system analyze sound data from different vehicles? 2. What are the potential implications of using this technology in the automotive industry?
Original Abstract Submitted
a vehicle diagnostic system includes processing circuitry and a storage device. the storage device stores data of a learned model and cluster data created by inputting, to the learned model, pieces of sound data recorded using vehicles in which types of anomalies are different from each other and identified, outputting the pieces of generated data, and clustering, for each of the types of anomalies, a loss variable indicating a magnitude of an error in each of the variables in each piece of the generated data. the processing circuitry is configured to execute a loss calculation process that inputs diagnostic sound data of a target vehicle to the learned model and calculates the loss variable in the generated data and a diagnostic process that checks data of the loss variable calculated through the loss calculation process against the cluster data and outputs a diagnosis result of the target vehicle.
