The goal of Predictive Maintenance (PdM) is to identify approaching equipment failures and conduct Preventive Maintenance (PM) before the failures occur.
Scheduled PM can be expensive and time consuming, and may even harm equipment if conducted excessively.
PdM is advantageous over scheduled PM, conduct PM only when necessary, thereby reducing PM cost and asset downtime.
While PdM offers many advantages to asset Operation & Maintenance (O&M), PdM systems are not cheap. The cost of PdM includes: installation of sensors and IT, data storage and servers, software updates, and usually a data scientist.
Many PdM companies emerged in recent years due to reduced cost of sensors and IT, as well as improvements in Machine Learning capabilities.
Asset owners are faced with many options for PdM systems, and selecting the right one is a challenge.
In many cases assets already have a lot of collected data (from SCADA and EAM) that is not utilized, and new expensive PdM systems are not always necessary.
PdM is closely related to Prognostics and Health Management (PHM). The PHM system monitors the asset, and PdM recommends maintenance actions based on the PHM results.
BQR offers several software and consulting services for PdM
- apmOptimizer can be used for “what if analysis” by calculating the expected ROI of PdM systems, allowing asset owners to select the best PdM for their needs
- BQR-Digital collects and analyzes field logs (import data from EAM, CMMS and SCADA) in order to predict Remaining Useful Life
- BQR tools and consulting provide asset maintenance and logistics optimization including: Inspections, PM and Spare Parts