Asset Reliability to System Reliability

Move Beyond Asset Reliability to System Reliability

Traditionally, when we think about improving reliability, we focus on individual assets and how to reduce their downtime. Less common, yet equally beneficial, is applying reliability efforts to the system as a whole, such as a manufacturing production line, a continuous chemical production process, or a wastewater treatment system. Best practices including preventive and predictive […]

News Roundup: Physics, Machines and Data- September 2020

Our team is always keeping an eye on news surrounding digital twins, machine learning, data analytics and more. Here are a few articles that we found especially interesting during the month of September. Industry 4.0 & the Water Sector – Water Finance & Management This article in Water Finance & Management hits the nail on […]

Connected Industrial Systems Reliability

So Many Risks and Faults at Stake

Some take the reliability of critical equipment and systems for granted, but those tasked with keeping them operational are keenly aware of the threats. Because there are so many potential risks and faults to manage, advanced condition monitoring and analytics are needed to hold them at bay. The Tignis solution can detect a minimum of […]

IIoT Risk and Fault Detection Strategies

Risk and Fault Detection Strategies

Operators of critical machines and systems have no time for downtime. Connected mechanical systems equipped with industrial internet of things (IIoT) sensors will constantly stream data about their condition in the hopes that someone will detect clues about their future state. Processing the massive volume of data and converting it into timely measures to extinguish […]

Highlights