Rather than performing preventive maintenance regularly , PdM is more cost-effective by performing maintenance at the right time .
Rather than performing preventive maintenance regularly , PdM is more cost-effective by performing maintenance at the right time .
a balance between preventive and remedial maintenance . It aims to achieve maximum system reliability using maintenance tactics that can be effectively applied to specific system failures in the operating environment . This maintenance strategy selects the right preventive maintenance practices for the right part at the correct time to obtain the most cost-effective solution . It also combines various types of maintenance with the goal of optimising reliability , efficiency , productivity , and costs . The maintenance strategy mix , as briefed above , may also be connected with a form of Performance-Based Contracting ( PBC ) with a broader scope , in terms of optimisation between achieving the required performance indicators and gaining significant incentives .
Thus , PdM , CBM , RCM and PBC could lead to activities such as continuous or periodic monitoring and diagnostics of biomedical equipment to forecast component degradations and undertake planned maintenance before failure occurs .
IMPLEMENTATION OF AI AND IoT PILOT PROJECTS
Due to these advantages , the Biomedical Sector , under the Engineering Service Division ( ESD ) of the Ministry of Health ( MOH ) Malaysia , is committed to advancing PdM and CBM for biomedical equipment performance and health and making use of AI , the Internet of Things ( IoT ), and cloud computing , which are aimed at failure prediction , in addition to the scheduled tasks in a comprehensive maintenance routine . In other words , PdM and CBM could lead to activities such as continuous or periodic monitoring and diagnostics of biomedical equipment to forecast component degradations and consolidate the conventional planned maintenance before failure
Figure 1 : Overall architecture of AI and IoT-based PdM for CT-Scan
occurs . In this endeavour , significant and essential items are picked , based on the real equipment life cycle . This could be performed by following the maintenance history , prioritising the important and feasible results , as well as the overall maintenance programme .
To walk the talk , the MOH , through the ESD , has achieved a breakthrough of a real application , using these emerging technologies through an implementation of AI and IoT-based PdM for selected biomedical equipment in a few MOH hospitals . Through an excellent collaborative effort with Universiti Putra Malaysia ( UPM ), a big chunk of the invented technology is integrated with the Computed Tomography Scanner ( CT-scan ) in one of the hospitals in the Klang Valley .
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