Resources & News

YAZZOOM INDUSTRIAL ANALYTICS
  • Home
  • Resources & News
  • Company
    • About Us
    • Partners
  • Jobs
  • Contact

Yazzoom's Anomaly Detection for the ESI Demonstrator

5/9/2018

0 Comments

 
Picture
The demonstrator is based on a virtual industrial system (i.e., a production line with multiple machines), which has the common functionalities of high-tech systems, such as lithography machines and professional printers, etc. We have developed a simulator of the system and generate the operational data. As an industrial showcase, ESI’s demonstrator presents “Smart high-tech system-diagnostics with operational data”. 
​One of the fundamental issues of root-cause analysis is how to detect anomalies from data. Yazzoom’s advanced unsupervised anomaly detection techniques have been applied by ESI’s demonstrator in the following two aspects.

​To diagnose a specific machine issue and narrow down the space of causes, we use the operational data generated by the machine components. Basically, anomalies are identified based on the operational data. This is achieved using unsupervised learning techniques, which are able to detect anomalies without efforts from domain experts. 

Read more.
0 Comments

Your comment will be posted after it is approved.


Leave a Reply.

​Home

Contact

Connect

yanomaly_flyer_2021-01.pdf
File Size: 513 kb
File Type: pdf
Download File

Terms & privacy policy
© COPYRIGHT 2016. ALL RIGHTS RESERVED.
  • Home
  • Resources & News
  • Company
    • About Us
    • Partners
  • Jobs
  • Contact