How predictive maintenance can save time, money - and even lives
This article will look at the latest developments in the field, covering:
- How can predictive maintenance help protect assets?
- Are there cost savings to be made?
- Will the nature of sensing change?
- What are the applications of predictive maintenance?
- Next steps for predictive maintenance
- Is AI a technology that can help?
How can predictive maintenance help protect assets?
Predictive maintenance (PdM) – which is aimed at reducing the likelihood of failures and, as a result, avoid costly downtime and lower maintenance costs – comes to the fore when companies address asset management. PdM can be implemented by monitoring the condition and performance of equipment during its normal operation, and using sensor technology and computerised maintenance management system (CMMS) software.
Alongside the sensors, PdM software can access a number of different data sources in real time, which can then predict asset failure or quality issues. These solutions use predictive analytics to detect any anomalies and failure patterns, determining where any problems or failures are likely to occur.
Dirk Claessens, IBM managing director for its Royal Dutch Shell account, explained how this technology all comes together in real-world applications, saying: “The objective is an increase in reliability of the overall asset or part of the asset.” “The predictive part is not just taking data from the automation piece, but a whole host of data: it could be maintenance logs, weather data, production forecasts and so on.”