Failure Mode (Predictive Maintenance Solution) DUNLOP
- Sensor
- Motion Sensor
- Machine Vision System
- Automotive
- Skill Transfer
- Information collect technology (Sensing)
- Device control technology
- Connecting technology (Network)
- Utilizing technology
- Technology for smart factory
- Technology for utilizing data
- Predictive maintenance/Anomaly detection/Predictive diagnosis
- AI application
- Network
- Data Space
- Smart use of manufacturing
- Production process optimization
- Improvement and visualization of human work and technology
- Software/Maintenance system
- AI related
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Target Sector (English)
This solution targets manufacturers of passenger vehicles, commercial vehicles, specialized vehicles, motorcycles, construction and agricultural machinery, as well as other transportation equipment, along with all companies and organizations that utilize vehicle, sensor, and warranty claim data.
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Use Scenes (English)
Are you facing these quality-related challenges?
◆ Failure Analysis & Predictive Maintenance
・Unable to fully leverage vehicle/equipment data for claims analysis and root cause identification
・Delays in identifying root causes, slowing preventive actions
・Struggling to reduce warranty costs due to limited root cause analysis and early detection
・Need to automate early anomaly detection and failure risk visualization
・Increasing quality and safety requirements demand urgent improvements
◆ Data Integration & Infrastructure
・Fragmented data across systems leads to inefficient analysis
・Lack of data integration limits early detection of quality issues
・No unified global data and quality management
・Data volume growth exceeds conventional processing capabilities
◆ Data Preparation & AI Implementation
・Challenges in building end-to-end capabilities from data prep to AI operations
・Disconnect between domain expertise and data analysis limits practical models
・AI tools are difficult to use and not adopted on-site
◆ Management & Investment Decisions
・Recognize the need for AI and data utilization, but unclear ROI hinders investment decisions
etc... -
Sales point (English)
This solution builds a dedicated AI model to accurately detect early signs of specific failure modes in particular product models and assess the risk of failure occurrence.
Based on our proprietary patented technology, the model analyzes not only individual sensor values but also correlations and behavioral patterns across multiple sensors to calculate failure risk.
This algorithm enables the detection of failure indicators that are difficult to identify using single metrics, resulting in a highly optimized predictive model tailored to each target product.
| Notices (English) | This solution is based on technology developed by an AI research team at Stanford University in the U.S., offering proven expertise backed by over 10 years of industry experience. As this is a tailored, custom-built solution, we encourage you to start with a PoC to evaluate how well it fits your challenges and its cost-effectiveness. |
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| Catalog PDF file |
DUNLOP
https://www.srigroup.co.jp/- Japan exhibitors
- Real
- TECHNO-FRONTIER 2026
- Predictive Diagnosis & Maintenance In-Factory
- Booth number
