Archive for Maintenance – Page 2

“If It Ain’t Broke, Prevent It From Breaking:” IoT and IoE in Prescriptive Maintenance for Turbines

How IoT and IoE are Impacting Power Generation via Prescriptive Maintenance of Turbines From a mechanical standpoint, turbines are engineering marvels. These massive machines have thousands of delicate moving parts, each with precision tolerances necessary to achieve maximum efficiency and complex maintenance routines. Even a minute disturbance in the turbine’s system can trigger a catastrophic […]

Read More →

Zero-Touch Deployment at the IIoT Edge

This week I’m visiting some ARC clients in Japan as a follow-up to last week’s ARC Tokyo Forum. My main take-away from the Tokyo Forum (before jet-lag incapacitated me) is that you can’t have too many resources in an IIoT edge platform, especially if your installation needs to scale up or support mission-critical functions. Sadly, […]

Read More →

Industrial IoT Improves Solar Farm Operating Performance

Larsen & Toubro (L&T) provides technology, engineering, construction, manufacturing, and financial services for projects in the hydrocarbon, infrastructure, power, process manufacturing and defense industries. Its L&T Solar division designs and builds solar power plants with a range of capacities and has gained expertise in a variety of solar technologies. ARC Advisory Group recently had the […]

Read More →

Driving Results with Analytics in Oilfield Operations

During the Operational Excellence in Energy, Chemicals & Resources conference in Calgary in early June, I had the opportunity to participate in an interesting and informative panel discussion with two upstream oil & gas experts from Tata Consultancy Services (TCS) and Rustom Mody, Vice President, Enterprise Technology at Baker Hughes that focused on how companies can, […]

Read More →

Cognitive analytics for industrial use: Part 2

Note: This is the second blog of a two-part series examining some of the differences among advanced analytics techniques, including cognitive analytics. This post applies the examination to the example of asset failure prediction as part of an overall asset performance management (APM) strategy. If you missed it, read Part 1. I’ve stated numerous times that […]

Read More →