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Predictive Analytics
uses variables when occuring together, in weighted combination, give probability of future events.
See Also: Predictive Analysis
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Digital Twin
Engineering simulation software has traditionally been used for new product design, but with the advent of advanced embedded sensors, engineers can now use this data to create digital twins. Digital twins can be used in real-time systems analysis to schedule predictive maintenance and implement performance optimizations. With the Hybrid Analytics capability of Ansys, engineers can reach an unparalleled level of accuracy using predictive analytics by combining machine learning (ML)-based analytics with a physics-based approach.
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AI-Based Analytics for Lower-Power Consumption & High Speed Data Processing
Extreme Search
Introducing Extreme Search, an integrated collection of powerful AI-based analytics functions engineered for speed and transportability. The suite provides fast, flexible and comprehensive statistical reasoning, predictive analytics and query capabilities in any computing environment.
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Digital OneWater Module for Collecting Live Data to Improve Wastewater Network Performance
Aqua DNA
Aqua DNA is an intelligent Digital OneWater solution that collects live data and improves wastewater network performance using smart sensors and AI-powered predictive analytics to reduce risk and make a positive societal and environmental impact.
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Load Shedding System
An advanced smart load preservation solution must dynamically determine the optimal system response to a variety of system changes and disturbances. Utilizing model-driven foundation with embedded predictive analytics, and optimization algorithms, ETAP's adaptive Intelligent Load Shedding (ILS) solution makes Faster than Real-Time decisions.
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Dimensional Metrology
Fleet Connectivity & Control Family
Nova Measuring Instruments Inc.
Nova’s Fleet Management and Performance Monitoring Center simplify the management and enhance the productivity of Nova tools in the fab. The platform’s ability to process and analyze large amounts of fleet and metrology data using advanced data analytic tools provides our customers with intelligent and predictive insights on tool performance and process trends.
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Condition Monitoring System
Cut costs and boost productivity with a condition-monitoring tool designed for ease of use and scalability. The Dynapar OnSite™ system is a powerful predictive maintenance system targeted at preventing failures before they occur. It can slash unscheduled downtime, improve efficiency of route-based vibration analysis, and provide real-time analytics and trending to warn of possible machine failures.
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Open Source Machine Learning server
PredictionIO
The Apache Software Foundation
Apache PredictionIO is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you: quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically;unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; etc.
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Wireless Current Quality Analyzer and Motor Analyzer - 3SIQ
Signals & Systems India Private Limited
3SIQ enables current quality analysis using wireless technology and thus allows operators to work from a safe distance. This Industry 4.0 and ISO 50001 Condition-based monitoring solution seamlessly combines the flexibility of using any Smart Phone or Tablet to provide powerful analytics and insights towards predictive maintenance, making the maintenance engineers’ life not just safer, but smarter as well.
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Machine Conditioning Solution for CNC Machines
EDGE MCM Quick Start
The Edge MCM Quick Start machine condition monitoring solution for CNC machines delivers real-time actionable insight to reduce downtime using AI at the edge. Developed by SAS, the leader in advanced predictive analytics and ADLINK, a global leader in edge computing, the Quick Start solution is easy to install providing 24-hour data analysis enabling maintenance managers to take the right action when needed. This fully integrated, open and flexible solution provides a quick return on investment by quickly and easily minimizing machine downtime, reducing maintenance costs and improving machine reliability and productivity.
