ASSET OPTIMIZATION. Information/Decisions

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Sherilyn Griffith
5 years ago
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1 An Integrated Web-Based Solution for Plant Asset Management & Optimization WEBVIEW 2000 is an advanced Internet-based data management and decision support system. It collects and integrates all operations, condition monitoring, and maintenance data to provide a comprehensive assessment of equipment health and status. Automated algorithms, rules, notifications, and exception tracking ensure data is utilized to optimize operational performance and maintenance activities. WebView 2000 can be integrated with existing systems and is designed for quick, cost effective implementation across the entire plant infrastructure to disseminate best practices throughout the organization. ASSET OPTIMIZATION Information/Decisions Integrated condition assessment Maintenance prioritization and O&M program effectiveness Operational/Reliability Improvements WEBVIEW 2000 DATA MANAGEMENT SYSTEM Advanced Data Analysis/Integration Trending & Automated Notifications Web Reporting & Data Warehousing Data Sources Operational Data (DCS, Scada, monitors) Condition Monitoring/PDM Diagnostic Data Testing/Maintenance Information (EAM/CMMS) Inspection Data from Mobile PC s FACILITY / PLANT ASSETS

General Overview/Specifications System Features Equipment Condition Status Integrated Analysis & Trending Detailed and Overview

Benefit Analysis Document Management Open Interface Architecture (DCS, EAM, Scada, 3 rd party software) Mobile Data Collection

and operational status maximizes reliability and allocation of maintenance resources Early warning indication of failures and

unnecessary maintenance & extends the time between overhauls Effective management of operational data ensures equipment is

2 General Overview/Specifications System Features Equipment Condition Status Integrated Analysis & Trending Detailed and Overview Reporting Advanced Rules & Algorithms Automated Notifications Via /Pager Exception Tracking Failure/Root Cause Analysis Cost Benefit Analysis Document Management Open Interface Architecture (DCS, EAM, Scada, 3 rd party software) Mobile Data Collection System Capabilities Secure Internet access provides anytime/ anywhere access to condition data Assessment of equipment condition and operational status maximizes reliability and allocation of maintenance resources Early warning indication of failures and possible causes reduces risks of unexpected downtime and costs of emergency repairs Forecasting of required maintenance reduces unnecessary maintenance & extends the time between overhauls Effective management of operational data ensures equipment is operated within design parameters to maximize equipment life and reduce the risk of failure Integrated condition summaries reduce time spent reviewing data

Data Integration & Analysis Technology/Process Integration Equipment Information/Specifications Operations Rounds/Logs Maintenance PM/Inspections Predictive

Documentation (manuals, procedures, drawings, parts lists, etc.

Accumulated values, averages, maximum, minimum, operational counts, data normalization Statistical analysis methods Rate of change / performance degradation

business logic to form conclusions regarding operational and condition statuses Configurable Calculations and algorithms can be added or customized by user

3 Data Integration & Analysis Technology/Process Integration Equipment Information/Specifications Operations Rounds/Logs Maintenance PM/Inspections Predictive Maintenance Data Vibration Oil Analysis Infrared thermography Acoustics/Ultrasound Motor Testing Real-time data (DCS, Scada, PI) Maintenance/Work Order History Documentation (manuals, procedures, drawings, parts lists, etc.) Advanced Processes for Expert Data Analysis Automated alarming & notification for detection and early warning of failures Calculations to determine Accumulated values, averages, maximum, minimum, operational counts, data normalization Statistical analysis methods Rate of change / performance degradation Comparison to baseline values and/or industry benchmarks Comparison to other components in system Rule-based algorithms Incorporates multiple data points and business logic to form conclusions regarding operational and condition statuses Configurable Calculations and algorithms can be added or customized by user (including third-party or proprietary algorithms) Mobile Data Collection Automates manual/paper-based data collection activities Inspections Testing Logs/Check Sheets Validation of data with automated and manual substitution for erroneous readings Streamlines the data collection process

Advanced Professional Services Technical Expertise Strategic Assessments Assess existing practices, procedures and resources to understand the technical, organizational, financial and management

4 Advanced Professional Services Technical Expertise Strategic Assessments Assess existing practices, procedures and resources to understand the technical, organizational, financial and management considerations for optimizing system implementation Facilitate the adoption of an asset performance management culture that doesn t tolerate failures and provides significant returns on investment Recommend asset maintenance strategies and approaches for effective reliability improvement Evaluate changes in operating practices to improve efficiencies Establish organizational buy-in at all levels of the organization from senior management down to worker levels Expert knowledge of equipment operations, equipment monitoring & diagnostics, preventive & predictive maintenance and industry best practices Implementation of processes and procedures to maximize equipment performance, data utilization and system effectiveness Select only the most important and useful information to be captured to facilitate a condition-based maintenance approach. Apply advanced algorithms and benchmarks to the data that is collected Rapid Implementation A Case Study Typical site implementations are complete and operational within 4-6 weeks. Recent implementation for complete T&D system at major US utility: System fully operational within 10 weeks after project award 12,000+ assets being managed 5,300+ data collection activities 85,000+ monitoring points 580,000+ automated notifications 80+ users (including contractors)

5 System Benefits...Turning data into information to maximize value Improved Operational Performance Increased Return on Assets Increased asset performance Increased equipment reliability Reduced equipment failures Reduced O&M costs Reduced capital expenditures Extended equipment life Standardizes how condition information is collected, analyzed, shared, and reported across the enterprise More efficient data collection processes through the elimination of inefficient manual processes (increased productivity) Integrates islands of information into a common platform, which significantly reduces the time necessary to collect otherwise disperse data allowing more time to be focused on analysis Utilizes advanced technology to enable smart decisions based on real-time information Enhanced Organizational Practices Aligns the organization towards reliability objectives Establishes improved and standardized business processes across the enterprise, especially collaborative problem solving Improves sharing and integration of real-time information for faster and more effective operational and maintenance decision making Drives communication and adoption of best practices throughout the organization

Asset Performance Management from GE Digital. Enabling intelligent asset strategies to optimize performance

Asset Performance Management from GE Digital Enabling intelligent asset strategies to optimize performance How can you make your operation safer and more reliable while helping to ensure optimal performance