ADISRA KnowledgeView has the ability for users to have comprehensive insight into asset risk enabling them to maintain higher levels of asset availability cross their entire installation. 

KnowledgeView uses a variety of Predictive Analytics to detect a problem from large amount of data to predict downtime, outage, and failure before it occurs. Assets can be set-up in a hierarchy by machines, lines, plants, or over several plants.

KnowledgeView™ uses software-as-a-service licensing and delivery model. This model improves the product usage

time to benefit and lowers the overall IT costs. Additionally, when updates are made, the updates will be available as part of the monthly service fee. KnowledgeView assists with improving production and maintenance efficiency. Production efficiency focuses on improving the time that the machine is up and running while eliminating costly scheduled maintenance using predictive maintenance algorithms.

Features Overview:

Connectivity – collect data directly from local or remote databases. Data can be residing in multiple data sources and ADISRA. KnowledgeView will consolidate the data into meaningful easy to understand visual information.

Analyze - Proactively assess real-time data along with failure predictions and anomaly detection to project asset failure.

Algorithms – System applies the latest predictive analytics algorithms based on both classical statistical approaches and novel machine learning tools to assess Survivability, Detect and Diagnosis Faults and calculate the Remaining Useful Lifetime (RUL) with a high degree of certainty based on equipment operation and historical data.

Visualize – Dashboards easily visualized on desktop, web browsers, tablets, and mobile devices.

Security – Easy user configuration and identifying the specific information that they may view.