Development of an Intelligent Safety Monitoring Device for Train-Track System in Cameroon

Valued as the best land transportation sector when it comes to the movement of heavy tons of freight and plenty of passenger’s at a unique instant, the railway industries have flippantly registered series of accidents that accounted for economic and social deprivation. These accidents directly related to environmental changes, human mistakes and material damages, heavy speeding, overloading, absence of inspection before train departure has portrayed the inconsistency of current maintenance strategies design to guarantee the availability and reliability of traintrack transportation network recently. The important to have an observation platform to preview active and proactive failures in various industries is of great interest. This research paper focuses on suggesting with application a strategy for the design, manufacturing and installation of an intelligent observation tool (IOT) suitable to follow-up failures and repair activities in related industries. Therefore, to guarantee safety of travellers, welfare of freights and protection of infrastructures. However, the strategy uses an inductive technique for failures extraction and a deductive technique for ranking these failures. For real time authentication, the suggested strategy was later simulated to investigate failures on train-track holding system caused by fatigue as it contributes to about 90% of mechanical failures relating to accident in the rolling stock, aerospace, maritime, processing and other related industries.