A prognostics and health management roadmap for information and electronics-rich systems

The Development of a test bed to support the Design of Diagnostics and Prognostics Applications of a complex system

“…The physics based model or the model prognostics also called the model based approaches are used explicitly to describe the physics of the component or subsystem, as to have a good understanding of the physical system degradation [18]. [19] Assert that the physics-based model applied the first principle for system prediction while the data-driven model uses the data obtained from the experiment or simulation data.…”

Prognostics and Health Monitoring of High Power LED

“…Data driven approach is considered as a black box approach to PHM as they do not require system models or systems specific knowledge to start the prognostics [11]. Monitored and historical data are used to learn the systems behaviours and used to perform the prognostics.…”

“…Hence the data driven approach is suitable for the systems which are complex and which behaviours cannot be assessed and derived from first principles. The implementation of data driven techniques for the purpose of health monitoring and prognostics generally based on the assumption that the statistical characteristics of system's performance will not change until fault occurs [11]. Therefore, the main advantage of data driven approach is that the underlying algorithms are quicker to implement and computationally more efficient to run compared to other techniques.…”

“…ED history and the ED failure limit for LED test data in the Figure 13. Table 3 shows a summary of prediction results for failure time at five different time points based on both ED and MD curves and using Equations (10) and (11). For exampe, the predictions for failure time of the LED made at time 400 min estimate failure times 473 min (RUL = 73 min) and 457 min (RUL = 57) from ED and MD data respectivly.…”

Intelligent Prognostic Framework for Degradation Assessment and Remaining Useful Life Estimation of Photovoltaic Module

“…A number of recent developments in the model-based approach, such as Lumped parameter models [12] and functional models [13], have been reported in the literature. Thus far, model-based approaches are not suitable for many industrial applications, where physical models or mathematical models are difficult to build such that they precisely describe the mechanism of the system, which may vary under different operation conditions [14]. With respect to their accuracy, model-based approaches cannot be used for complex systems whose internal state variables are inaccessible to direct measurement using general sensors.…”