Silent intelligence in manufacturing industry

Transcription

1 CYIENT /12/2015 Silent intelligence in manufacturing industry How Smart Connected Products are Transforming Manufacturing Industry Digital Technologies for Manufacturing Innovation: Embracing Industry 4.0 The University of Nottingham 30 November 2015 hoopathi Rapolu Head of Analytics EMEA CYIENT Europe Ltd.

2 CYIENT Who we are CYIENT /12/2015 Aerospace Heavy Equipment Oil & Gas Rail Transportation Medical & Electronics Utilities & Energy 2

3 CYIENT What we do CYIENT /12/2015 Engineering design Network & Operations Product realization ig Data Iot And M2m Advanced Analytics 3

4 Silent intelligence in manufacturing industry How Smart Connected Products are Transforming Manufacturing Industry

5 The New Product Anatomy Mechanical parts Electrical and Electronic parts Sensors Microprocessors Data storage Controls Software Embedded OS Digital UI etc. Connectivity Components Ports Antennae Protocols Networks 5

6 Reinventing the Product Design Interoperability Monitor Insights & Report Enable remote control New usiness Models Optimise Mechanical Engineering Interdisciplinary Systems Engineering Software Defined Autonomous Efficient Optimise production Simplified Assembly process 6

7 Unlocking the full value of data is a new business function EXTERNAL data on prices, weather, supplier inventory, etc. SMART, CONNECTED PRODUCTS data on location, condition, use etc. ENTERPRISE data on service histories, warranty status, etc. ASIC INSIGHTS SUCH AS USE PATTERNS DATA LAKE (AGGREGATED RAW DATA IN MULTIPLE FORMATS) CONTROL AND OPTIMIZATION THROUGH, FOR EXAMPLE, SOFTWARE UPGRADES THAT IMPROVE PERFORMANCE DIAGNOSTIC DESCRIPTIVE PREDICTIVE Examine the causes of reduced product Performance or failure Capture products condition, environment, and operation detect patterns that signal impending events PRESCRIPTIV E Identify measures to improve outcomes or correct problems USINESS CUSTOMER PARTNER 7 Source: HR article on smart connected products, Oct 2015

8 Cyient case studies

9 Airframe OEM: Prescriptive Analytics Observations: 1) Are outliers present in data? 2) What are the common characteristics of these outliers? 3) What is their impact on overall performance objectives? Method: Hierarchical clustering and predictive modelling Output: 1) TRANSIENT behavior Are components dynamically changing clusters? 2) Contributing REASONS - Why, if so? 3) FEATURE extraction - What are the features that are contributing to such migration?

10 A A A A A A A C C A D D F C F D F C D F F Time Estimated Life Heavy Equipment Fleet Predictive Maintenance Customer enefits CYIENT /12/2015 Sensor info, abuse events, exceptions, fluid samples, repair history, site conditions. Ove 170 different data sets Health Score Situational Intelligence Operational Intelligence New Insights Anomaly detection Similar Asset based analysis Fleet based analysis Site based analysis Asset Health Score In-between repair time estimation Important component failure prediction Repair Recurrence models Event Repair Association Risk category to health quantification Deduction of Risk categories Situational Intelligence Engine Condition ased Monitoring Module Recommendations 10

11 Predictive Maintenance for MRI Machines Imaging system MR imaging controls Onboard sensors Captures temperature at various positions on MR Machine CYIENT /12/2015 Patient Data ody part for scan Weight of patient Magnetic Field Control Manual setting of magnetic field required for scan as prescribed by the doctor Other data sources Equipment History Maintenance Records Environmental data Value to Client (DAS) Data Acquisition System System Failure Logs Operations (Scan) Data Failure Events Pattern Matching Algorithm Predictive Analytics Platform More accurate prediction of failures in MR machines Temporal pattern recognition across failures Efficient scheduling of maintenance visits to client installations etter predictive maintenance of MRI machines Optimized inventory holdings at Field Service Locations System Health Dashboard Predictive Asset Maintenance 11

12 CYIENT /12/2015 Thank You hoopathi Rapolu Head of Analytics EMEA CYIENT Europe Ltd.