Condition Monitoring 3.0 – Predictive Maintenance – 2010s IIoT measurements for predictive maintenance is much akin to the discussion around business ‘leading versus lagging’ indicators. The monitoring described above could be good but still lagging or condition-based. For some, predictive maintenance...
Finally, it helped development a condition-based predictive maintenance program that generated a return on investment (ROI) of 173% and a profit of $331,360 during the first year.Garay, FernandoHuaman, WilliamAtoche, WilmerFranco, Elmar
Vibration monitoring provides a good quality source of information about the health condition of facility equipment. It is a core element of anypredictive maintenancecondition monitoring effort in a facility. Typically a member of the predictive maintenance team, a vibration monitoring technician would fo...
Fig. 11. (A) Presents a concise summary of casing utilisation by well type (B) Casing failure mix by grades based on the articles reviewed. 3.10 Predictive mechanical models The research work of Li and Samuel (2016) developed an analytical model that can be used to predict a threshold pres...
based on sieved tests conducted before the optimization process. Subsequently, 6 µL of the ink was dropped over the electrode, and after drying for 24 h in the air, it was used as the working electrode. Polarization curves were obtained using the Linear Sweep Voltammetry (LSV) technique ...
Experiments were carried out at a maintenance anesthesia level of 0.8%. Arterial blood gases (paCO2 and paO2) were measured at the end of the functional time series. The values recorded were 16 ± 4 mmHg (paCO2), 287 ± 95 mmHg (paO2) and 17 ± 4 mmHg (paCO2), ...
Whole-body physiologically based pharmacokinetic (WB-PBPK) modelling is a predictive technique that quantitatively relates the pharmacokinetic parameters of a drug to such (patho-)physiological conditions. Objective: To extend an existing WB-PBPK model, based on the physiological changes associated with ...
Clinical trichology should represent an integral part of medical training, and the dermatologist participates with the other medical disciplines in the diagnosis and treatment of all types of hair problems relating to systemic disease. On the other hand,
The predictive maintenance of wind turbines has become a critical issue with the rapid development of wind power generation. The early detection of abnormal operation conditions can prevent failure status, which takes a long time to recover. Energy waste can also be reduced while maintenance efficienc...
Based on the outcome, the Machine Learning methods that are widely used in the field of pipeline predictive maintenance with good prediction accuracy are Support Vector Machine (SVM) and Artificial Neural Network (ANN). However, Fuzzy methods and Regression analysis methods have shown a lot of ...