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Description
In response to the stringent quality requirements set by the automotive sector, semiconductor manufacturers are increasingly adopting Part Average Testing (PAT) to bolster the reliability of their products. This method focuses on identifying and eliminating "outlier" components that may pass conventional testing yet display unusual traits, thereby mitigating long-term quality and reliability concerns. By performing statistical analyses on a range of devices and modifying the pass/fail thresholds, PAT enables the early detection of these problematic parts, ensuring that only the highest quality components are included in production shipments. While Part Average Testing (PAT), as outlined in the Automotive Electronics Council AEC-Q001-Rev C specifications, primarily addresses DPM techniques for normal (Gaussian) distributions, many real-world scenarios involve distributions that do not conform to this norm. Consequently, it is essential to employ tailored PAT outlier detection strategies to prevent significant yield losses or erroneous identifications of outliers. To meet these challenges, PAT-Man emerges as a robust solution for implementing effective Part Average Testing (PAT). This innovative tool not only enhances the reliability of semiconductor components but also streamlines the testing process, ultimately benefiting manufacturers and consumers alike.
Description
proteanTecs delivers a comprehensive deep data analytics solution that harnesses the power of both cloud and edge computing to oversee electronic devices from the initial design stage to their deployment in the field. By integrating on-chip agents early in the design process, this platform produces extensive data coverage, which allows for timely insights and alerts throughout the entire lifecycle of the product. This innovative strategy significantly improves quality, achieving nearly zero defects per million units through precise outlier detection and enhanced testing coverage. Reliability is bolstered with sophisticated fault alerts that support predictive maintenance and minimize service interruptions. Moreover, operational efficiency is enhanced by promptly identifying production shifts and implementing fine binning, resulting in elevated parametric yields. The platform also accelerates the time-to-market by streamlining product ramp-up and minimizing testing durations. Furthermore, it offers clear visibility into production performance and power metrics, which is crucial for performance optimization and fine-tuning of products. Overall, proteanTecs’ platform represents a transformative approach to electronics monitoring and analysis, driving innovation and efficiency in the industry.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Galaxy
Country
United States
Website
www.galaxysemi.com/products/pat-man
Vendor Details
Company Name
proteanTecs
Founded
2017
Country
Israel
Website
www.proteantecs.com/solutions
Product Features
Engineering
2D Drawing
No
3D Modeling
No
Chemical Engineering
No
Civil Engineering
No
Collaboration
No
Design Analysis
No
Design Export
No
Document Management
No
Electrical Engineering
No
Mechanical Engineering
No
Mechatronics
No
Presentation Tools
No
Structural Engineering
No
