Publications

This paper presents a diagnosis for machine faults using vibration analysis for the cranes of Beirut Port due to the repetitive breakdowns occurring. The research study presented takes into account the root cause analysis for breakdowns that occur to the cranes. This preliminary study focuses on how to start setting up a predictive system based on vibration analysis, which is suitable to monitor the operations of cranes in a local seaport. The predictive maintenance system will acquire the vibration sensory data as well as it will display the obtained spectrums. Afterward, the obtained spectrums are diagnosed to detect three different faults: balancing, misalignment and looseness defects present in the machines and suggest some recommendations for reducing the breakdowns. One of this preventive measure is to balance the system under study