Online Big-Data Monitoring and Assessment Framework for Internal Combustion Engine with Various Biofuels

Switching internal combustion engines to biofuels is needed to meet strict environmental rules, but testing how engines perform and age with different biofuel mixes is still hard. There are no standard monitoring tools, so engines could wear out faster and create more waste. To fix this, the paper proposes an online big‑data monitoring and assessment framework made for IC engines that run on various biofuels. The framework uses real‑time data collection and advanced analytics to watch combustion behavior, thermal efficiency, and structural‑health signals. By constantly processing large streams of sensor data, it creates a baseline comparison with regular fossil fuels, making sure biofuels don’t shorten engine life. For M.Tech researchers,

the framework gives a clear way to model engine degradation, simulate changing operating conditions, and check the long‑term feasibility of alternative fuels. Because the abstract gives few details, the exact experimental validation steps and sensor layouts need to be defined later, using simulated data or test‑bench measurements.

Message: Hi FE, I need help with “Online Big-Data Monitoring and Assessment Framework for Internal Combustion Engine with Various Biofuels” in “Mechanical Engineering”