Advanced modules diagnostics in ISES remote laboratories

Abstract

The paper deals with the advanced detection and diagnostics of physical hardware modules of remote laboratories based on the Internet School Experimental System (ISES) platform. Interested students can use the ISES remote laboratory for experimenting as a unique educational tool to understand the desired phenomena. This is particularly useful for distant students, whom are often not enabled frequent experimental and laboratory courses. The main reason to deal with this issue is the absence of any detection technique of faults and any diagnostic system to help improving the administration. The diagnostic system is designed for those responsible for the ISES remote laboratory hardware functioning. The first chapter, the state of the art, aims to introduce the ISES remote laboratory concept. The next chapter presents the Runtime modules detection component used for the identifying and detecting connected ISES hardware modules by using two bit triplets and masks. The second part of this chapter describes the Rule-based methods exploiting heuristics to detect faults in these modules. The final chapter summarizes all the benefits brought for involved administrators of the ISES remote laboratories.