Mechanical engineering asset management research focuses on the systematic process of maintaining, improving, and optimizing mechanical assets throughout their lifecycle. This field is critical for enhancing reliability, safety, and cost-efficiency in engineering systems and infrastructure. As a vital branch of mechanical engineering, it covers research on asset performance evaluation, risk assessment, and maintenance strategies. JoVE Visualize enriches this research by pairing PubMed articles with JoVE’s experiment videos, offering researchers and students a deeper understanding of both theoretical concepts and practical applications in asset management.
Established methods in mechanical engineering asset management include reliability-centered maintenance, condition monitoring, and failure mode analysis. Researchers commonly use vibration analysis, thermography, and non-destructive testing to assess asset health. Lifecycle cost analysis and risk-based asset management frameworks help optimize maintenance schedules and resource allocation. These techniques provide a foundation for effective asset management decisions and align closely with the critical goals of maximizing asset uptime and minimizing operational costs.
Innovations in this field increasingly leverage digital twins, machine learning, and predictive analytics to forecast asset failures more accurately and enable proactive interventions. Integration of the Internet of Things (IoT) sensors allows real-time data acquisition and improved condition-based maintenance. Emerging research also explores sustainability-focused asset management, emphasizing circular economy principles and energy-efficient system designs. These approaches are reshaping traditional maintenance paradigms and opening new avenues for mechanical engineering asset management research.
Zhengli Wang, Aye Myat Myat Thinn, Jieqing Zhu
Michael Sorkin, Ji Qi, Hyungjin M Kim, Jennifer B Hamill, Jeffrey H Kozlow, Andrea L Pusic, Edwin G Wilkins
D Melayah, E Bonnivard, B Chalhoub, C Audeon, M A Grandbastien
Graciela Rodríguez Vega, Ulises Zaldívar Colado, Xiomara Penélope Zaldívar Colado, Dora Aydee Rodríguez Vega, Enrique Javier de la Vega Bustillos
Stefan Berger, Hendrik J van de Brake, Heike Bruch
Wei Deng, Keming Luo, Demou Li, Xuelian Zheng, Xiaoyang Wei, William Smith, Chandra Thammina, Litang Lu, Yi Li, Yan Pei
Joseph Adamson