The 5 Main Types of Predictive Maintenance

Predictive Maintenance

Maximize your maintenance teams schedule by seizing the knowledge generated by historical and real-time data. Data science and data analytics can be put to work for you to optimize your equipment investment, and to prevent costly downtime. A simple review of the maintenance types is beneficial to all and staying ahead of any potential failures or breakdowns is critical to maintain operational efficiency.

The 5 Types of Predictive Maintenance

1. Corrective Maintenance

Corrective maintenance is utilized when a fault is detected on your machine. The purpose of corrective maintenance is to get your machine back up and running at its previous performance levels. Maintenance plans are crucial to avoiding unplanned downtime, so when a fault is accurately anticipated, technicians can fix the problem at hand without incurring any unbudgeted costs.

2. Preventative Maintenance

Preventative maintenance is regularly scheduled maintenance that helps mitigate any unplanned faults in the future. Technicians consider past machine faults to estimate how likely downtime will occur, and adjust their budgets and maintenance schedules to reflect their findings. Computerized maintenance management systems (CMMS) are essential tools to track and organize maintenance schedules and machine data to ensure efficiency on the production floor.

3. Risk-based Maintenance

Risk-based maintenance focuses on machinery that is risk or fault-prone. RBM creates low cost processes that protect the most exposed parts of your equipment or processes. By prioritizing maintenance towards machines that have the highest risk of failure, risk-based maintenance is a cost-effective solution to preparing for downtime.

4. Condition-based Maintenance

Condition-based maintenance is a type of predictive maintenance. Condition monitoring tracks a machines performance prior to even deciding what maintenance need to be performed. Condition-based maintenance solutions utilize sensors that can measure temperature, humidity, pressure, vibration, flow and more. These sensors when paired with IO-Link can deliver critical data to technicians to eliminate future unplanned downtime.

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5. Predetermined Maintenance

Predetermined maintenance focuses on failure mechanisms by tracking metrics like mean time to failure (MTTF). This type of maintenance is one of the least popular solutions as it focuses on programs or metrics that function as averages, not detecting the actual state of your equipment.

Our Electrical Product Experts bring Industry 4.0 solutions and innovative solutions to address your challenges. Let our creative and experienced pros help you face potential hurdles by exploring how predictive maintenance can make your job easier. NEFF Automation brings you the solutions-based automation with committed professionals wholly focused on enabling your success.