Honeywell International Inc. (20240249567). SYSTEMS AND METHODS FOR VEHICLE FAULT DETECTION AND IDENTIFICATION USING AUDIO ANALYSIS simplified abstract
Contents
SYSTEMS AND METHODS FOR VEHICLE FAULT DETECTION AND IDENTIFICATION USING AUDIO ANALYSIS
Organization Name
Inventor(s)
Fabian Constantino of Phoenix AZ (US)
SYSTEMS AND METHODS FOR VEHICLE FAULT DETECTION AND IDENTIFICATION USING AUDIO ANALYSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240249567 titled 'SYSTEMS AND METHODS FOR VEHICLE FAULT DETECTION AND IDENTIFICATION USING AUDIO ANALYSIS
The abstract describes a method for automatically determining faults in a vehicle using audio signals and machine learning.
- Receiving audio signals from vehicle microphones
- Extracting diagnostic metadata from the audio signals
- Deriving a diagnostic feature from the metadata
- Using a machine-learning model to associate the feature with vehicle faults
- Automatically determining faults based on the diagnostic feature
Potential Applications: - Automotive industry for vehicle diagnostics - Fleet management for maintenance scheduling - Insurance companies for claims processing
Problems Solved: - Streamlining fault detection in vehicles - Reducing manual inspection time - Improving accuracy of fault diagnosis
Benefits: - Faster fault detection - Cost-effective maintenance - Enhanced vehicle safety
Commercial Applications: Title: "Automated Vehicle Fault Detection System" This technology can be used in auto repair shops, vehicle manufacturing plants, and fleet management companies to streamline fault detection processes and improve overall efficiency.
Prior Art: Researchers can explore existing patents related to vehicle diagnostics, audio signal processing, and machine learning in the automotive industry to understand the evolution of this technology.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for fault detection in vehicles, audio signal processing techniques, and applications of AI in the automotive sector.
Questions about the Automated Vehicle Fault Detection System: 1. How does this technology improve vehicle maintenance processes? - This technology automates fault detection in vehicles, reducing manual inspection time and improving the accuracy of diagnosis. 2. What are the potential cost savings for companies implementing this system? - Companies can save on maintenance costs by detecting faults early and preventing more extensive damage to vehicles.
Original Abstract Submitted
a method for automatically determining a fault of a vehicle comprises receiving one or more audio signals from one or more microphones of the vehicle; extracting diagnostic metadata from the received one or more audio signals; extracting a diagnostic feature from the diagnostic metadata, the extracted diagnostic feature corresponding to a feature of a trained machine-learning based model for determining a fault based on a learned association between the extracted diagnostic feature and a fault of the vehicle; and automatically determining the fault based on the extracted diagnostic feature, by using the trained machine-learning based model that was trained based on a first feature extracted from first training metadata regarding previously recorded data and a second feature extracted from metadata regarding a previous fault related to the previously recorded data, based on the learned association between the extracted diagnostic feature and the fault.
