Search Results for predictive maintenance

.... , and Barnett , K. , 2000 , “ Predictive Monitoring and Control of the Cold Extrusion Process ,” CIRP Ann.—Manuf. Technol. , 49 ( 1 ), pp. 383 – 386 . 10.1016/S0007-8506(07)62970-9 [2] Bourliere , F. , and Petter-Rousseaux , A. , 1953 , “ Imperfect Maintenance of Homothermal Body...

... on a machine is when the machine is starved or blocked due to the occurrence of random failures on its upstream or downstream machines. Such failure-induced starvation or blockage time is defined as a passive maintenance opportunity window (PMOW), and is predicted on the bottleneck machines in manufacturing...

...Xinyang Tao; Tangbin Xia; Lifeng Xi This paper focuses on series systems' dynamic opportunistic maintenance scheduling. Based on the machine-level predictive maintenance (PdM) method, a novel TOC–VLLTW methodology combined theory of constraints (TOC) policy and variable lead-lag time window (VLLTW...

...Olufemi A. Omitaomu; Myong K. Jeong; Adedeji B. Badiru; J. Wesley Hines Shaft alignment prediction is essential for the development of effective coupling and rotating equipment maintenance systems. In this paper, we present a modified support vector regression (SVR) approach for shaft alignment...

... to predict when maintenance should be performed. Conventional maintenance strategies include reactive, preventive, and proactive maintenance [ 4 – 6 ]. The most basic approach to maintenance is reactive, also known as run-to-failure maintenance planning. In the reactive maintenance strategy, assets...

... PHM is more accurate and reliable than prediction using the traditional PHM for the entire lifecycle. In practice, this improvement is crucial for real-time maintenance decision making to prevent equipment from catastrophic failures. two-zone proportional hazard model remaining useful life...

... maintenance scheduling. This paper presents a systematic framework that integrates a sensor-driven prognostic method and an opportunistic maintenance policy. The prognostic method uses degradation signals of each individual machine to predict and update its time-to-failure (TTF) distributions in real time...

... of data analytics and machine learning tools in analyzing post-market product performance and the cost of repair and maintenance operations. References [1] Kang , S. , Kim , E. , Shim , J. , Chang , W. , and Cho , S. , 2018 , “ Product Failure Prediction With Missing Data...

...Jihong Yan; Jay Lee Real-time health monitoring of industrial components and systems that can detect, classify and predict impending faults is critical to reducing operating and maintenance cost. This paper presents a logistic regression based prognostic method for on-line performance degradation...

...Shengli Zhang; J. Tang Electric impact wrench is an important tool used in manufacturing and maintenance services. It has complex mechanism and its operation involves dynamic events occurring at vastly different time scales, which poses challenges for efficient and accurate modeling to facilitate...

... threshold is used to schedule the CBM. To find an optimal maintenance schedule for a specific machine, Zhou et al. ( 11 ) developed a reliability-centered predictive maintenance policy and modeled imperfect corrective maintenance (CM) and PM using a hybrid model that is based on lifetime distribution ( 12...

... the dominant preventive maintenance (PM) strategies to predictive maintenance and beyond. The goal of maintenance is to improve the longevity of production equipment and operations by repairing, replacing, or maintaining equipment components. A timeline of the maintenance strategies used throughout...

...Hong Seok Kim; Muammer Koc; Jun Ni In warm forming of aluminum sheet materials, determination, realization, and maintenance of optimal temperature gradient is a key process parameter for increased formability. In this study, a two-phase procedure for efficient and accurate determination of proper...

... ), pp. 70 – 78 . 10.1016/j.ijpe.2004.06.057 [20] Mobley , R. K. , 2002 , An Introduction to Predictive Maintenance , Elsevier , New York . [21] Vogl , G. W. , Weiss , B. A. , and Helu , M. , 2016 , “ A Review of Diagnostic and Prognostic Capabilities and Best...

... of torque level. In these predictions, backlash values based on mill maintenance records have been included and the resultant torque amplifications were, indeed, of the order of 1.5 to 2 times the predictions shown in this section. Of the test measurements, most relevant to correlation are the coupling...

...T. S. Sankar; G. D. Xistris This paper attempts to propose a prediction on the failure of machinery resulting from high vibration amplitudes. Since the monitored record is generally in the form of a randomly fluctuating signal, the principles of stochastic excursions are employed...

... versus perfect maintenance . This comparison case is designed to demonstrate the advantage of introducing imperfect maintenance into joint optimization, in which the perfect maintenance is scheduled similarly to in Ref. [ 20 ], i.e., a predictive replacement will be triggered when the MRL falls below...

...: [email protected] 28 06 2024 31 10 2024 02 11 2024 21 11 2024 data and model synergy remaining useful life prediction health indicator Wiener process plant engineering and maintenance sensing monitoring and diagnostics National Natural Science Foundation...

... ,” IEEE Robot. Autom. Lett. , 7 ( 4 ), pp. 8699 – 8704 . 10.1109/LRA.2022.3188906 [28] Borgi , T. , Hidri , A. , Neef , B. , and Naceur , M. S. , 2017 , “ Data Analytics for Predictive Maintenance of Industrial Robots ,” International Conference on Advanced Systems...

... monitoring systems, capable of tracking the shop-floor condition and specifically the condition of the machine tools, can support the condition-based preventive maintenance [ 23 ] as well as predictive maintenance [ 24 ]. The importance of real-time monitoring of machine tools in maintenance planning has...