18099442. APPARATUS, METHOD AND COMPUTER READABLE STORAGE MEDIUM FOR DIAGNOSING FAULT OF VEHICLE COMPONENT USING ACCELERATION SENSOR simplified abstract (KIA CORPORATION)
Contents
- 1 APPARATUS, METHOD AND COMPUTER READABLE STORAGE MEDIUM FOR DIAGNOSING FAULT OF VEHICLE COMPONENT USING ACCELERATION SENSOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPARATUS, METHOD AND COMPUTER READABLE STORAGE MEDIUM FOR DIAGNOSING FAULT OF VEHICLE COMPONENT USING ACCELERATION SENSOR - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
APPARATUS, METHOD AND COMPUTER READABLE STORAGE MEDIUM FOR DIAGNOSING FAULT OF VEHICLE COMPONENT USING ACCELERATION SENSOR
Organization Name
Inventor(s)
Tae Woong Park of Hwaseong-si (KR)
Jae Hun Kim of Hwaseong-si (KR)
APPARATUS, METHOD AND COMPUTER READABLE STORAGE MEDIUM FOR DIAGNOSING FAULT OF VEHICLE COMPONENT USING ACCELERATION SENSOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18099442 titled 'APPARATUS, METHOD AND COMPUTER READABLE STORAGE MEDIUM FOR DIAGNOSING FAULT OF VEHICLE COMPONENT USING ACCELERATION SENSOR
Simplified Explanation
The patent application describes an apparatus for diagnosing a fault of a vehicle component using an acceleration sensor, feature extraction unit, and machine learning model.
- The apparatus includes a processor, memory, and programs for detecting an acceleration signal, extracting features related to a fault of a vehicle component, and diagnosing the fault based on the extracted features.
- The machine learning model is selected based on a preset evaluation index from a variety of trained models using training data sets.
Potential Applications
The technology can be applied in the automotive industry for diagnosing faults in vehicle components, leading to improved maintenance and performance.
Problems Solved
1. Efficient fault diagnosis of vehicle components. 2. Reduction in maintenance costs by identifying issues early on.
Benefits
1. Increased vehicle safety and reliability. 2. Cost-effective maintenance practices. 3. Enhanced vehicle performance and longevity.
Potential Commercial Applications
Optimizing vehicle maintenance services for automotive manufacturers and service centers.
Possible Prior Art
One possible prior art could be the use of diagnostic tools and sensors in vehicles for fault detection and analysis.
Unanswered Questions
How does the apparatus handle real-time data processing for quick fault diagnosis?
The abstract does not provide details on the real-time processing capabilities of the apparatus.
What types of vehicle components can be diagnosed using this technology?
The abstract does not specify the range of vehicle components that can be diagnosed using the apparatus.
Original Abstract Submitted
An apparatus for diagnosing a fault of a vehicle component, may include: a processor; a memory storing one or more programs configured to be executed by the processor; and the one or more programs include instructions for: an acceleration sensor for detecting an acceleration signal; feature extraction unit for extracting features related to a fault of a vehicle component from the detected acceleration signal; and a machine learning model for diagnosing a fault of the vehicle component based on the extracted features, wherein the machine learning model may be a model selected according to a preset evaluation index among a plurality of machine learning models trained based on training data sets.
