7 Essential Predictive Maintenance Indicators (KPIs) to Track
Maintenance KPIs are performance metrics that help you measure your overall maintenance process. These indicators evaluate factors critical to an organization's success. However, not all managers know the best indicators for this and may fail to monitor essential data to increase production potential.
- Silvio DosSantos
Predictive Maintenance Practices- Model for a Good Program– CONNECT Conversations
In this session we’ll be discussing this, along with various condition monitoring techniques, e.g., vibration, oil, IR, ultrasound, and perhaps others, and how and where to best apply them, and as importantly the systems and practices that need to be in place to optimize their performance, e.g., a direct link to the maintenance planning and scheduling process, and a proactive approach to eliminate the defects being detected.
- Ron Moore
- RELIABILITY CONNECT
The Industry 4.0 Roadmap and How I-care’s Approach Is Different
Industry 4.0 is what organizations are all striving for, but it’s not something that can be fixed overnight. To achieve sustainable results, a long-term mindset is needed. It is therefore essential to choose a strategic approach taken in stages. And, of course, the right partner to help you guide all facets of your organization through this major transition.
- Tom Rombouts
- I-care Group
Simple and Easy Steps for Implementing Predictive Maintenance in Machinery using High Frequency Vibration Data and Edge AI
Currently, the most commonly used standard for maintenance processes is Time-based Maintenance (TBM) that involves inspection, repair, and part replacement at regular intervals. In general, TBM is not optimal and cost effective. On the other hand, Condition-based Maintenance (CBM) involves the utilization of various types of sensor data collected from machines to perform repairs or other countermeasures before malfunctions or anomalies occur, hence reducing the unnecessary cost of maintenance.
- Vikas Kumar Singh
The New Normal in Predictive Maintenance
What does machine health monitoring look like in an era of the online workday, personnel shortages, and supply chain hang-ups? These recent trends have influenced practices in predictive maintenance—including how data is collected, shared, and analyzed. Read on for five condition monitoring solutions to avoid manufacturing delays and optimize workflow.
- Bob Martin
- IMI Sensors
Using PdM to Drive Reliability Improvement
PdM programs manage failures – they do not usually improve reliability. John Pucillo wants to change this. Here, he describes how your PdM program can be used to drive reliability and provides examples…
- John Pucillo
- True Reliability
The Importance of Predictive Maintenance
As early as the 1960’s, many companies realized that by routinely monitoring the operating condition of rotating equipment it is possible to obtain an advanced warning of operational or other problems that would impact continued efficient operation.
- Bill Kruger
- ALL-TEST Pro
Sustainable Predictive Maintenance for Improved Reliability of Car Manufacturing
This study provides brief details of an early warning system of an impending failure for an overhead conveyor in an automotive manufacturing plant in the US.
- Tumay Karaver
- Artesis Technology Systems
Why You Should Perform a PdM Assessment
If your plant has a long-standing PdM program, I recommend performing an assessment. I encourage people to do self-assessments, but you may at some point wish to bring in an outside professional to perform an overall program assessment. It’s kind of a score card…
- John Pucillo
- True Reliability