For example, Shedadeh et al. (2012) demonstrated that the detection of erosion enhances the overall system reliability and safety as well as the system performance.
Moreover, attempting to design and manufacture a totally defect-/fault-free system, would impact heavily, even prohibitively, the design, manufacturing, and testing costs, as well as the system performance and power consumption.
The system is capable of performing most of the tasks in an autonomous and intelligent manner, which minimizes the workload of medical staffs, and consequently minimizes the associated psychological stress and improves the quality of patient care as well as the system performance.
Currently, the design of these SDHW installations is well controlled and the system performance is reasonably good.
Through the evaluation, we show that the proposed approach can achieve a significant result in reducing the energy consumption as well as maintaining the system performance.
It is well-known that the system performance for an indirect field-oriented control (IFOC) induction motor drive degrades under parameter variations and in the presence of external load torque.
Therefore, the proposed distortion lower bounds are tight, and hence are able to characterize the system performance well even for CSI quantizers with small to moderate quantization rates.
The system performance as well as the indoor thermal comfort is analyzed.
And the theoretical results are very close to the simulation results, which indicates that our theoretical analysis can estimate the system performance very well.
Through numerical experiments, the convergence and effectiveness of the proposed algorithm, the impact of relay position and total power on the system performance as well as the benefits of using SP and the HSE protocol has been illustrated.
