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Forecast for Industrial Analytics/Predictive Maintenance
ABI Research forecasts that revenues from maintenance analytics will total $9.1 billion this year. Following a CAGR of 22%, the market’s size will reach $24.7 billion in 2019, driven largely by adoption of predictive analytics and M2M connectivity. While the more advanced forms of maintenance, predictive and prescriptive, still account for just 23% of this year’s market, at the end of the forecasting period they will collectively represent 60% of all revenues. Senior analyst Aapo Markkanen comments, “Today, predictive maintenance is one of the commercially readiest forms of M2M and IoT analytics, possibly second only to usage-based insurance. It helps asset-intensive organizations transform their maintenance operations and eliminate waste, reducing costly downtime. Infrastructure, vehicles, and industrial equipment can all benefit from it.”
• Control Data • Operational Logs • Maintenance Records • Diagnostic Information • Production Data (ERP) • Smart Sensors • Procurement • EAM • CMMS • Inventory • Energy • Environmental
INSIGHTS
CONTEXT
Equipment Hierarchy “Normal” Operation
Failure History Pattern Hub™
• Data Mining • Correlations • Statistical Analysis • Patterns • Patterns That
Predict the severity and location of Stress Corrosion Cracking (SCC) in a pipeline to minimize environmental risk and guide maintenance and repair activities.
Several factors combine to influence SCC
Environmental conditions (soil type, drainage, temperature, exposure, etc.) Stress loading due to pressures, temperatures and flows (operational variables) Material properties (pipe material, coating, manufacturer, inclusions, welds, etc.) Prior maintenance and repair
AssetInsight - Failure Modeling for Pipeline Integrity Risk Assessment Case study #1
IF wall thickness between (6.35, 7.14) AND soil type is tilled waterways AND topographic pattern is leveled, THEN severity = 3
IF soil code is 4 AND topographic pattern is inclined, THEN severity = 2
Output – Predictive Models with Associated Rules for Interrogation and Interpretation
Production intelligence suite will emerge into a common platform that delivers management, performance and operation insights to the manufacturing industry in a number of vertical applications
Internal/External Structured Data Internal/External Unstructured Data