Search Results - subject:"condition monitoring"

Unlocking the potential of predictive maintenance for intelligent manufacturing : a case study on potentials, barriers, and critical success factors

Hoffmann, Marcel André; Lasch, Rainer - In: Schmalenbach journal of business research : SBUR 77 (2025) 1, pp. 27-55

Predictive maintenance (PdM) is a data-driven maintenance strategy that aims to avoid unplanned downtimes by predicting the remaining lifetime of maintenance objects. Thus, unnecessary replacements of spare parts and critical process disturbances due to breakdowns can be avoided. Despite the...

Persistent link: https://www.econbiz.de/10015331591

Unlocking the potential of predictive maintenance for intelligent manufacturing: A case study on potentials, barriers, and critical success factors

Hoffmann, Marcel André; Lasch, Rainer - In: Schmalenbach Journal of Business Research (SBUR) 77 (2025) 1, pp. 27-55

Persistent link: https://www.econbiz.de/10015332154

Robust condition-based production and maintenance planning for degradation management

Sun, Qiuzhuang; Chen, Piao; Wang, Xin; Ye, Zhi-Sheng - In: Production and operations management : the flagship … 32 (2023) 12, pp. 3951-3967

Persistent link: https://www.econbiz.de/10014441437

Relating wear stages in sheet metal forming based on short- and long-term force signal variations

Niemietz, Philipp; Kornely, Mia J. K.; Trauth, Daniel; … - In: Journal of Intelligent Manufacturing 33 (2022) 7, pp. 2143-2155

Monitoring systems in sheet metal forming cannot rely on direct measurements of the physical condition of interest because the space between the die component and the material is inaccessible. Therefore, in order to gain further insight into the forming or stamping process, sensors must be used...

Persistent link: https://www.econbiz.de/10015194317

A systematic mapping study on machine learning techniques applied for condition monitoring and predictive maintenance in the manufacturing sector

Gehrhardt, Ingolf; Heik, David; Bahrpeyma, Fouad; … - In: Logistics 6 (2022) 2, pp. 1-22

). To predict when maintenance is needed, the components' conditions are monitored with the help of a condition monitoring …

Persistent link: https://www.econbiz.de/10015194912

A systematic mapping study on machine learning techniques applied for condition monitoring and predictive maintenance in the manufacturing sector

Thuy Linh Jenny Phan; Gehrhardt, Ingolf; Heik, David; … - In: Logistics 6 (2022) 2, pp. 1-22

). To predict when maintenance is needed, the components' conditions are monitored with the help of a condition monitoring …

Persistent link: https://www.econbiz.de/10013286787

Economic evaluation of maintenance strategies for offshore wind turbines based on condition monitoring systems

Walgern, Julia; Peters, Lennart; Madlener, Reinhard - 2017

Persistent link: https://www.econbiz.de/10011895315

Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges

Tchakoua, Pierre; Wamkeue, René; Ouhrouche, Mohand; … - In: Energies 7 (2014) 4, pp. 2595-2630

more highly evolved WT designs intended to improve availability, the application of reliable and cost-effective condition-monitoring … of wind turbine condition monitoring (WTCM) methods and techniques with a focus on trends and future challenges. After …

Persistent link: https://www.econbiz.de/10010762607

Wind Turbine Gearbox Condition Monitoring with AAKR and Moving Window Statistic Methods

Guo, Peng; Bai, Nan - In: Energies 4 (2011) 11, pp. 2077-2093

Condition Monitoring (CM) of wind turbines can greatly reduce the maintenance costs for wind farms, especially for … offshore wind farms. A new condition monitoring method for a wind turbine gearbox using temperature trend analysis is proposed …. Analysis of simulated gearbox failures shows that the new condition monitoring method is effective. …

Persistent link: https://www.econbiz.de/10010668103

Intelligent prognostics of machinery health utilising suspended condition monitoring data

Heng, Aiwina Soong Yin - 2009

. Recent advances in condition monitoring technologies have given rise to a number of prognostic models for forecasting …

Persistent link: https://www.econbiz.de/10009438306