FAQs
on Predictive Maintenance
Predictive maintenance (PdM) is a proactive approach to equipment care that uses data analysis to identify potential problems before they occur.
This helps to prevent unexpected downtime, reduce maintenance costs, and improve overall operational efficiency.
Here are a few frequently asked questions about Predictive maintenance in manufacturing plants:
General concept
What is predictive maintenance?
What are the benefits of PdM?
What are the limitations of PdM?
High upfront investment in equipment and training are the big challenges of PdM. Predictive maintenance may not be suitable for all companies, particularly those who don’t have cooperation from all departments.
How does PdM differ from preventive maintenance?
What industries benefit most from PdM?
Applications and Techniques
Is PdM suitable for all types of equipment?
What are the different types of data used in PdM?
What are common PdM techniques?
Common PdM techniques include condition monitoring, condition-based maintenance, predictive modeling, and failure mode analysis.
(A: Condition-based monitoring (CBM), performance trending, risk-based maintenance (RBM), and machine learning algorithms.)
How does vibration analysis work in PdM?
What is oil analysis used for in PdM?
Implementation and Benefits
What are the key steps for implementing PdM?
Key steps for implementing PdM are:
- Identify critical equipment
- Train maintenance team
- Set condition baseline
- Install condition-monitoring equipment & sensors
- Connect devices to a CMMS
- Begin your PdM strategy