A key to Boon Logic’s success in the domain of responsible AI is that it empowers customers to create their own individualized data models, suited to their unique situations. Our CEO, Grant Goris, was recently interviewed by Fast Company for a cover story on achieving...
Boon Logic Joins Software AG PartnerConnect Global Partner Program
New partnership enables high-speed AI to predict service requirements for complex assets MINNEAPOLIS, February 21, 2023 – Boon Logic, provider of the world’s fastest AI-based anomaly detection solutions, today announced it is partnering with Software AG, a leader in...
The Three Pillars of a Predictive Maintenance Strategy
When we talk with customers about what they are looking for in their predictive maintenance strategy, we usually hear them say some version of “we want to know in advance if our asset is going to fail.” This seems like a fair statement of value, but there is so much...
Barbara D. Stinnett Joins Boon Logic’s Board of Directors
Stinnett is recognized for her expertise in applied, disruptive technologies in “all things data” MINNEAPOLIS, December 15, 2022 – Boon Logic, provider of the world’s fastest AI-based anomaly detection solutions, today announced the appointment of Barbara D....
When Failure is Not an Option: The Problem with Focusing on Machine Failure
Gene Kranz’s memoir When Failure is Not an Option describes the responsibility of NASA engineers to ensure the reliability of the technical systems of the US Space Program. Many industries have this in common: everything must be done to prevent asset failure. For...
Physics-Based Modeling: What you Get When you Cross a Ph.D. with a Six Sigma Black Belt
A Ph.D. in industrial engineering sits down for lunch with a colleague who is a Six Sigma black belt. The Ph.D. talks about her research in physics-based modeling of metal fatigue and her dozens of publications. The Six Sigmas Black Belt is a reliability engineer. He...
Statistical Models in Predictive Maintenance Strategies: Easy to Start. Hard to Finish.
In our blog on pervasive sensing, we described how reliability teams in the past two decades have adopted predictive maintenance strategies that are driven by live asset data streaming from a variety of edge sensors. This near real-time telemetry is routed via network...
Types of Predictive Maintenance: What Does Predictive Maintenance Mean to You?
We all know that in seismic research, the “Big One” refers to an expected massive earthquake along the San Andreas Fault that will happen…someday. Despite the monumental importance of predicting this event, scientists cannot say when it will happen with any precision....
The Impossible Dream: Universal Predictive Maintenance Models
The continuous advancement in research and development surrounding Artificial intelligence and Machine Learning has truly made the impossible possible. From self-driving cars to automatic facial recognition, what was once only a farfetched plot in a Sci-fi movie has...
Using Boon Logic’s Amber to Get More Out of Your IoT Platform
The same sensor-based IoT platform technology that has connected devices and appliances in our homes, is also used in large equipment like pumps and engines. If they have a sensor, they can stream information, send telemetry data out to the cloud, have the data...
Unrealized Potential: Why Pervasive Sensing has been so Disappointing?
In our blog, What’s Wrong with Preventative Maintenance?, we described the limitations of PM schedules for reducing downtime and maintenance costs. In response to these limitations, a new real-time, data-driven approach seemed to be what was needed for reliability...
Patterns of Machine Failure: What’s Wrong with Preventative Maintenance?
Maintenance strategies based on the “prediction of failure” have always been the goal of reliability teams tasked with reducing unplanned downtime and overall maintenance costs. In fact, nearly every industry has assets where unplanned downtime is either catastrophic...