Oren Shapira , CTO at DiagSense

Bilateral Meetings

  • 08.12.2013 Sunday (04:15 pm - 06:00 pm)

DiagSense company has developed a system for prognostics and diagnostics of evolving failures in mechanical parts. The diagnostic system is based on a statistical algorithm that processes the data from the sensors installed on the diagnosed mechanical part. Each time that the algorithm receives the data from sensors, it calculates the “system health grade”, makes a decision on normality of the system and outputs the alerts if needed. These alerts can be delivered to the equipment operators in any form upon according the clients requirements.
Advantages of our system:
• The system reports on evolving failures much before the formation of the real one. It is done by monitoring not only the diagnosed part, but also a set of variables that influence it.
• The system is self-adaptive to the changes in the environment and doesn’t require any human intervention. It is gained due to adaptive training of the algorithm.
• Low rate of false alarms is gained due to the use of explanatory variables that explain changes in the explained one.

Country: Israel

Organization Type: Other

Organization Size: 1-10


City: Nesher ,Klil hahoresh 8/6 Google map

Areas of Activities

Water Technology


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