Predict Asset Health - Detect and Diagnose with Advanced Pattern Recognition
An equipment agnostic (rotating and static) solution to monitor the real-time health and performance of critical assets using artificial intelligence, advanced pattern recognition, and sophisticated data mining techniques. A graphical approach to unleash advanced analysis application to predict the asset performance.
Decision support system targeted at the mobile workforce to improve operational processes and ensure consistent execution of best practices by connecting stranded physical assets to digital tools and services. With the Mobile Workforce Guidance System; Maintenance procedures can be performed simultaneously as well as scheduled in advance to avoid the unplanned cost and minimize the planned cost while improving the workforce productivity.
A rules-based logic solution to automate the maintenance process through monitoring of user-defined rules that initiate necessary maintenance activities resulting in early failure detection. Preventive maintenance management increases asset availability, reliability and avoids unnecessary maintenance activities and downtime. Notifications are triggered based on KPIs across mediums and these could be simple warnings, automated work requests, or complex workflow involving multiple departments. A crucial module in continuous improvement strategy.
A value-added service where your assets are continually monitored by our engineers to provide early warning alerts, and diagnostic guidance, to improve reliability, reduce maintenance costs, improve equipment performance, reduce capital expenditures and reduce total cost of ownership. The Monitoring and Diagnostics Service center (MDSC) located in Chicago, IL is staffed with subject matter experts in the fields of power plant operation and maintenance. The MDSC provides daily, weekly, monthly, and quarterly activities to help users get the most out of their investment. Usage of machine learning and diagnostics technology, coupled with years of experience, to provide early warning of equipment problems to ultimately reduce unscheduled downtime, improve reliability and control maintenance costs.
Daily: The Predictive Analytics analyst reviews alarms and warnings for signs of early equipment problem
Weekly: The MDSC analyst, along with an SME, will prepare a report consisting any relevant items noted during the previous daily review
Monthly: A summary of any currently open cases will be sent to the customer. This synopsis will help outline items that are being monitored or are awaiting further action
Quarterly: A summary of all the items reported in that period
Workforce Change Management and Onboarding
Drive operational consistency with Operator Training Simulators (OTS) and allow operators to train on a computer in an identical environment to the control room. Simulation and training tools provide in-depth process understanding through accurate simulation models of the plant that aid in process analysis and operator training.
Scalable computing environment (test vs. training vs. real-time)
Secure & flexible access control (add/edit/delete user privileges)
Simplified IT overhead via on-demand cloud infrastructure
Flexible usage and pricing models
Augmented Reality/Virtual Reality for immersive experiences
Closing the Performance Gap with Advanced Analytics
Capture and analyze real-time data generated from the process and equipment, providing closed-loop tuning and management for higher asset performance and enhanced operations control. Address the performance gaps caused by isolated data, inability to capture and share tacit knowledge, and failure to respond quickly to non-conformity events.
KPI Manager for increased decision support and awareness
Event manager to extract and present event details from across assets
Decision manager for case management capability to store alerts, events, and tasks through their life cycle
Operations console is the face of the Predictive Performance Management application and provides the Client Experience Framework
Operational Data Management provides self-service semantic processing to consolidate multiple sources of data into one “integrated version of the truth”
Predictive asset analytics solution to provide early warning notification and diagnosis of equipment issues days, weeks or months before failure
The Schneider Electric industrial software business and AVEVA have merged to trade as AVEVA Group plc, a UK listed company. The Schneider Electric and Life Is On trademarks are owned by Schneider Electric and are being licensed to AVEVA by Schneider Electric.