predictive maintenance
Articles
The Case for Remote Predictive Maintenance Services
The benefits of proactive maintenance naturally come from optimized asset reliability and performance. However, potential bottlenecks can still obstruct progress. Proactive maintenance has traditionally been filled with various predictive maintenance (PdM) programs that generally gather comprehensive intelligence on machinery conditions for analysis...
- Michael Dwyer
- Mobius Institute
Webinars
A Balanced Approach to Pharma 4.0: Sustainability & Predictive Maintenance
During this webinar, we will explore the ISPE “Pharma 4.0™ operating model” in the context of sustainability, how it relates to iPdM, the utilization of vibration condition monitoring, and what it means for sustainability in pharmaceutical manufacturing. We will go into a real technical case study of how iPdM of an oven heat exchange fan, as part of more than 370 assets being monitored in a pharmaceutical plant, contributes to sustainability.
- Peter Kytka
- Brüel & Kjær Vibro
Webinars
Success Management Approach in Providing Predictive Maintenance Services – A Practical Guide
Insightful webinar where we explore cutting-edge strategies for effective asset management especially in the non-heavy industry companies. This session will cover the role of skilled diagnostic teams, challenges and solutions for non-heavy industry companies and the benefits of the subscription-based consultancy model.
- Łukasz Sznajder
- Grundfos
Webinars
Leveraging AI & Analytical Efficiency for Predictive Maintenance
In today's rapidly evolving digital landscape, organizations across various sectors find themselves inundated with enormous volumes of data. This presents both a challenge and an opportunity. Successfully navigating this sea of information requires not just traditional analytical methods, but the integration of more advanced computational techniques to drive efficiency and innovation.
- Jeremy Frank
- KCF Technologies
Case Studies and Stories
Case Study of NASA Webb Telescope via Ferrography and More
Ferrography has been around since the 1970’s invented by Vernon Westcott due to a need to observe wear particles/Ferrography in the 5–350-micron range. Most believe this is the particle size range to detect potential failure prior to any mechanical problems. However, the ferrography analysis was thought to be time consuming, expensive, and non-repeatable.
- Ray Dalley
- Trico Corporation
Webinars
How to Manage a Successful Digital Predictive Maintenance Program
• Asset Governance – You Need a Good Partner and a Well-Defined Process to Allow Governance.
• Critical assets optimizations - Importance of Healthy Structure PdM Plan Guideline
• Digitalization to Optimize Resources – IOT / A.I / Data-Driven Industries Integration.
• Main KPIs and Benchmarks.
• Complex Systems Enhancement
- Silvio DosSantos
- SEMEQ
Five Minute Facts
Why Do Most Predictive Maintenance Programs Fail?
Christian Benk, director of product management at B&K Vibro, draws from an industry study and his own experience to describe why most companies experience failure in their predictive maintenance programs…
- Christian Benk
- BK Vibro
10 Minute Talk
How Can AI Reduce Greenhouse Gases?
AI can help us increase energy efficiency and reduce waste, which helps the environment. Dries Van Loon explains…
- Dries Van Loon
- NanoPrecise
Five Minute Facts
Net Zero Targets and Greenhouse Gases
We see Net Zero in the news every day, but how can I contribute in my workplace? Dries Van Loon runs the numbers…
- Dries Van Loon
- NanoPrecise
