Making Machines Smart April 2015 Mtell HANA Unplugged Mtell heats up the oil and gas industry Mtell one of 4 companies in Gartner’s “Cool Vendors in Oil and Gas, 2014” Report www.mtell.com/gartner-lists-mtell-as-cool-vendor-in-oil-and-gas-2014-report what does Mtell do machines stop breaking down machines last much longer net output increases dramatically maintenance costs much less a different way of thinking… …to improve safety and reduce failures …open the box… filings in oil pan? …make machines smart so they see the future …and ask for help… the machines tell “alternator fail - 3 weeks” this is… a smart machine Live Agents rules maintenance scheduling machine learning Equipment Sets & Taxonomy make & model operating context population analysis Equipment asset hierarchy sync from EAM Sensor Mapping data streams M2M population learning transfer learning Performance usage, states wear, fatigue efficacy benchmarking why HANA SAP powers the performance highest-performance maintenance analytics solution based on modern, in-memory, columnar data structures essential for population learning across fleets metadata from SAP PM gives context: equipment usage, location, nameplate parameters … accurate assessment of machine learning transferability between equipment in similar & dissimilar service typical…but upper bearing temps: 1 & 2 VFD speed lower bearing temps: 1 & 2 motor winding temps: 1 PHA 2 PHA 1 PHB 2 PHB 1 PHC 2 PHC top & bottom bearings:: discharge pressure axial vibration tangent vibration agents…your retained knowledge Mtell uses agents for individual machines created by you …in minutes capture worker experiences & actual measured sensor data …each one holds the precise multidimensional/temporal data pattern of a machine in a specific operating mode one single job …constantly monitor for that exact pattern & sound off “alarm bells” agents keep learning, always, work 24/7, no breaks or vacations, & never retire many agents per asset anomaly agent knows all learned patterns matching all normal operating states failure agent 001 knows precise signature of patterns leading to bearing failure failure agent 002 knows precise signature of patterns leading to drive coupling failure failure agents 003+ many other agents each assigned to detect exact failure patterns what types of assets pumps & compressors motors & drives electrical transformers centrifugal reciprocating rotary centrifugal reciprocating rotary plus other static equipment vehicles heavy haul trucks locomotives process equipment chillers ht. exchangers boilers thank you ABates@Mtell.com