It has long been accepted that condition- based maintenance is the most effective and cost-efficient approach to maximizing the life of industrial machinery. Vibration and lubricant analyses are two key components of any successful condition-monitor program and can be used as both predictive and proactive tools to identify active machine wear and diagnose faults occurring inside machinery. This work presented a holistic online platform that integrates these two techniques together. A cloud-based software architecture is elaborated and the hardware solution for data acquisition are detailed. The effectiveness of developed solution is analysed and evaluated using industrial planetary gearbox. It can be concluded that the proposed technology will significantly improve the visibility of mechanical equipment and provide a sure-fire way to assure the reliability of machinery.

Dr Jiaxing Zhan has over 18 years of industrial experience, spanning research and development, quality control, and manufacturing. His background includes a PhD in Mechanical and Manufacturing Engineering, with a specific focus on gear dynamics and noise control. Over the years, I’ve published more than 10 journal papers in this field. Currently, he is leading the engineering, data analytics, and business development of ONYX InSight in the ANZ region.