Diagnostic Engine: Empowering Data Analytics
|

Diagnostic Engine: Empowering Data Analytics

Ensuring the success of your connected reliability program is essential for the management team. Many companies today are facing vibration data overload, where the excessive amount of vibration data exceeds analytic capacity in today’s wireless sensor world Azima DLI manages over 500,000 machine tests per year and uses algorithms, metrics, and processes to sustain those…

How to Leverage AI to Help Define Spare Parts Criticality Methodology
|

How to Leverage AI to Help Define Spare Parts Criticality Methodology

Reliability and Operations teams have always struggled with a repeatable process for defining criticality for maintenance spare parts. It is often too easy to make everything critical and often entails a binary method of “yes/no” or “true/false.” Most criticality review processes are static (one and done) and are not revisited nor adjusted with changing business…

How to start a reliability program when you are already 100% busy

How to start a reliability program when you are already 100% busy

Reliability maintenance is experiencing more management-level awareness than ever before. But even with increased support, starting a reliability program can be daunting. Experts John Bernet and Dries Van Loon of Fluke Reliability have spent years advising maintenance teams on how to start and sustain successful reliability programs. In their webinar, “Proactive maintenance strategies to extend…

Your plant is more prepared for machine learning than you realize

Your plant is more prepared for machine learning than you realize

f your plant or facility already operates with some level of reliability maintenance, you are probably ready to apply a machine learning algorithm to the asset condition data you’re collecting. That’s the main message delivered by Blair Fraser in his Jan. 22 Fluke Reliability webinar, “6 myths about machine learning that M&R pros must overcome.”…

Dana Inc. demystifies the transition to a digital factory

Dana Inc. demystifies the transition to a digital factory

Most manufacturing companies agree that they need to transform their plants into digital factories at some point soon. They can’t drag their feet too long or they may watch their competitors gain a distinct advantage. Besides improving production efficiency and quality, digitalization will pay big dividends for maintenance operations. The ability to combine real-time asset…

What’s next in maintenance? A look at transformational impacts of AI, Industry 4.0, and IIoT

What’s next in maintenance? A look at transformational impacts of AI, Industry 4.0, and IIoT

In this webinar, Fluke experts Adam Kornak and Brian Harrison explore topics such as artificial intelligence vs. intelligent automation, virtual reality vs. augmented reality, and the implications of IIoT-enabled mobility for maintenance and reliability. What can we and should we be doing today to prepare for tomorrow? Where can we invest today’s dollars for driving…