Article
Chemistry, Analytical
Tek Raj Chhetri, Anelia Kurteva, Jubril Gbolahan Adigun, Anna Fensel
Summary: Hard drive failure can lead to system crashes and data loss. Current studies on hard drive failure prediction mostly rely on machine learning, lacking context-awareness. Semantic technology provides context-awareness through knowledge graphs, but lacks the learning patterns and prediction capabilities of machine learning. This paper presents a method that combines the advantages of both machine learning and semantic technology, achieving higher accuracy in hard drive failure prediction.
Article
Engineering, Mechanical
Zhonghui Sun, Yanying Guo, Zhonghong Sun, Shouchen Yang, Baoyu Hao
Summary: With fierce competition in the automobile market, focus has shifted to the automobile extended warranty service. Predicting maintenance costs is crucial for developing this service. The mixed Weibull model was used to fit the failure process based on failure frequency data from multiple vehicle batches, leading to a prediction model for single vehicle failure rate. Additionally, an iterative solution using maintenance cost data from the same batch resulted in a prediction model for individual vehicle maintenance costs. Validation using existing maintenance data demonstrated the model's authenticity, effectiveness, and significant engineering application value.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Shuyuan Gan, Zhifang Song, Lei Zhang
Summary: In this study, an innovative maintenance strategy is proposed to handle the normal degradation and shock process of systems. The strategy includes dividing the system reliability into different stages and implementing corresponding maintenance activities, as well as determining optimal control variables using the Particle Swarm Optimization algorithm. The proposed strategy is shown to be necessary and effective.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Hardware & Architecture
Joao R. Campos, Ernesto Costa, Marco Vieira
Summary: Online Failure Prediction (OFP) allows for proactive measures to be taken before a failure occurs, but it still faces limitations in terms of selecting optimal features and assessing predictive models. This article presents case studies on Linux and Windows, demonstrating the creation of models that can predict various types of failures and considering important factors such as operational requirements. A well-structured framework is also introduced for fair assessment and comparison of alternative predictive solutions.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2023)
Article
Engineering, Marine
Chuanyang Zhao, Hongbing Liu, Xianqiang Qu, Mingxuan Liu, Ruitong Tang, Ankui Xie
Summary: This study establishes a preventive maintenance model based on failure prediction for a floating offshore wind turbine (FOWT) generator. The reliability value of the generator under run or failure states is calculated using the fault tree method, and quantitative analysis of the generator in a maintainable state is carried out using the Markov method. The results show that the FPPM strategy can improve the system's availability and mean time between failure (MTBF) value.
Article
Engineering, Geological
Jie Zhang, Zipeng Wang, Jinzheng Hu, Shihao Xiao, Wenyu Shang
Summary: This paper introduces a Bayesian machine learning-based method to evaluate the effect of model and observational uncertainties on slope failure time (SFT) prediction. A comprehensive slope failure database is compiled and the application of the method is illustrated with an example. Verification studies show that the method outperforms the traditional inverse velocity method and the maximum likelihood method. This study provides an effective tool for predicting SFT.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Li Li, Yong Wang, Kuo-Yi Lin
Summary: This paper introduces a novel approach for integrating preventive maintenance into production planning of a manufacturing system, relying on prediction algorithms, opportunistic scheduling, and ant colony optimization for personnel planning. Experimental results validate the effectiveness and benefits of the proposed approach in improving production efficiency.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Computer Science, Artificial Intelligence
Serkan Ayvaz, Koray Alpay
Summary: The study developed a data-driven predictive maintenance system for manufacturing production lines, utilizing real-time data from IoT sensors to detect potential failures before they occur. The system was successful in identifying indicators of potential failures and the best performing machine learning models were integrated into the production system in the factory.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Review
Engineering, Industrial
Joerg Leukel, Julian Gonzalez, Martin Riekert
Summary: The review of failure prediction in industrial maintenance using ML technology identified issues such as heterogeneity in systems and domains addressed, adoption of up-to-date approaches, lack of performance evaluation to mitigate overfitting, and varying reporting of experimental designs and results. Opportunities for future research include exploring new methods and suggesting ways to facilitate comparison and integration of evidence.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Mathematics
Hongyan Dui, Yuheng Yang, Yun-an Zhang, Yawen Zhu
Summary: This study proposes a recovery model for metro networks considering the value of time, and introduces a new node importance measure based on maintenance priorities to minimize network losses.
Article
Engineering, Multidisciplinary
David De-Leon-Escobedo
Summary: A risk-based procedure is proposed for recommending maintenance strategies for oil and gas steel pipelines with internal pitting corrosion. This procedure considers the uncertainty and evolution of corrosion depth over time, and calculates the failure probability and acceptable limit based on the consequences of pipeline failure. Monte Carlo simulation is used to calculate the failure probability for segments of the pipeline based on inspection results from pig runs. The time variant reliability index is compared to the target index to determine the optimal time for maintenance works.
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING
(2023)
Article
Engineering, Industrial
Liwei Chen, Yansan Gao, Hongyan Dui, Liudong Xing
Summary: This paper focuses on modeling the reliability of the pod slewing system and conducting component importance analysis to identify weak components. It also investigates optimal maintenance strategies to maximize system performance within total maintenance cost constraints, providing example solutions for different mission times and cost constraints.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Civil
Xuan-Yi Zhang, Zhao-Hui Lu, Yan-Gang Zhao, Chun-Qing Li
Summary: CRTS II slab track is widely used in China's high-speed railway. This study proposes an innovative optimum maintenance strategy for CRTS II slab track based on time-dependent system reliability and life-cycle cost analysis. The system limit state function of the track structure is constructed considering important serviceability failure modes. The proposed maintenance strategy identifies and repairs critical failure modes and components at each maintenance time to decrease the system failure probability under an acceptable level.
Article
Computer Science, Interdisciplinary Applications
A. Syamsundar, V. N. A. Naikan, Shaomin Wu
Summary: This study proposes PM and CM models based on different combinations of maintenance types, estimates parameters in those models, simulates their failure intensities, and studies maintenance effectiveness using maintenance data from industrial equipment.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Theyab O. Alamri, John P. T. Mo
Summary: This paper introduces a holistic preventive maintenance schedule based on failure modes and effects analysis (FMEA) to improve system efficiency and reliability while minimizing maintenance costs. The approach is able to ensure continuous production output and achieve maximum system reliability.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Antoni Swic, Arkadiusz Gola, Lukasz Sobaszek, Natalia Smidova
Summary: The article introduces a new thermo-mechanical machining method that combines straightening and heat treatment operations for the manufacture of long low-rigidity shafts. Through axial straightening and quenching in tests, the method increases corrosion resistance and improves the accuracy and stability of the geometric shape of the shaft.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Chemistry, Physical
Antoni Swic, Arkadiusz Gola
Summary: The article presents the experimental validation of the developed static, time and frequency characteristics under interference and longitudinal feed control of a dynamic system in the process of turning axisymmetric parts. The positive results confirm the effectiveness of the proposed models and their usefulness for automation of machining processes.
Article
Chemistry, Physical
Antoni Swic, Arkadiusz Gola, Olga Orynycz, Karol Tucki
Summary: The aim of the study was to investigate the dependency of cutting forces on cutting parameters and flank wear, as well as changes in cutting forces during the turning of thin-walled parts. The results show that applying an electro-contact heating control system can reduce cutting forces and decrease the deformation of thin-walled casings caused by workpiece runout.
Article
Energy & Fuels
Karol Tucki, Olga Orynycz, Andrzej Wasiak, Antoni Swic, Leszek Mieszkalski, Remigiusz Mruk, Arkadiusz Gola, Jacek Sloma, Katarzyna Botwinska, Jakub Gawron
Summary: The transport sector acts as a major obstacle to the European Union's climate protection goals. In order to reduce emissions, more restrictive regulations have been introduced. This study presents a computer tool that models the energy consumption and CO2 emissions of vehicles, and analyzes their impact through various driving tests and fuel types.
Article
Engineering, Multidisciplinary
Myron Czerniec, Antoni Swic
Summary: This paper presents a study on worm gears made of polymer worm wheels and steel involute and Archimedes worms. The author uses a calculation method to predict wear, life, and maximum contact pressure. Tooth correction and wear are considered, and double and triple tooth engagement cases are analyzed. The study finds that tooth wear significantly decreases contact pressure, with the highest decrease observed at the exit of engagement. The gear life increases linearly with the coefficient of tooth correction, and triple tooth engagement shows a significant increase in gear life compared to double tooth engagement.
ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Lukasz Sobaszek
Summary: This paper presents the concept and research of industrial robot task scheduling, as well as its application in adhesive dispensing process. By scheduling the efficient and supporting tasks of the robot using alternative dispatching rules, the paper aims to simplify and optimize the process.
ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Andrzej Wasiak, Olga Orynycz, Karol Tucki, Antoni Swic
Summary: In recent years, there has been increasing interest in the behavior of mixtures of gaseous or liquid hydrocarbons with gaseous hydrogen. These mixtures are seen as a temporary solution for decarbonization of energy resources. This study focuses on computer simulations to estimate carbon dioxide emissions based on different compositions of hydrogen mixtures with hydrocarbons, providing insights for practical implementation management.
ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL
(2022)
Article
Chemistry, Physical
Antoni Swic, Arkadiusz Gola
Summary: This paper investigates the influence of compliance in the technological system on the shape accuracy of low-stiffness shafts during grinding. The study evaluates the accuracy achieved through passive compliance compensation, and proposes technological assumptions to further improve the shape accuracy. A method for actively compensating the compliance of the elastic technological system during machining process is developed, considering the limitations of passive compliance compensation. The experiments demonstrate that adjusting compliance and controlling bending moments effectively enhance grinding accuracy, depending on the position of the cutting force. The experimental results align with theoretical study and confirm the assumptions, illustrating that adjusting compliance significantly improves the accuracy and productivity of low-stiffness shaft machining.
Article
Engineering, Multidisciplinary
Myron Chernets, Antoni Swic, Anatoliy Kornienko, Alina Yurchuk
Summary: A method of tribological testing for models with sliding friction using a pin-on-disc mechanism is introduced. The wear resistance indicators of unfilled polyamides and composites are determined. The research establishes the wear resistance characteristics and compares the wear resistance of different materials. The study also analyzes the influence of fillers on wear resistance and provides a forecast evaluation of metal-polymer bearings made of specific polyamides.
ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL
(2023)
Article
Energy & Fuels
Gintaras Valeika, Jonas Matijosius, Olga Orynycz, Alfredas Rimkus, Antoni Swic, Karol Tucki
Summary: The proposed changes aim to intensify research on reducing emissions of harmful substances from diesel cars. The study focused on the Skoda Octavia with a 1.9 TDI engine, evaluating the smokiness of exhaust gases emitted after combustion of different biofuels and their blends with fossil diesel fuel. Results using a standard smokiness meter indicate that the use of biofuels or their blends generally reduces smoke formation.
Article
Chemistry, Physical
Antoni Swic, Arkadiusz Gola, Olga Orynycz, Karol Tucki, Jonas Matijosius
Summary: The article presents original technological methods that increase the accuracy of elastic-deformable shafts by controlling the state of elastic deformations. The proposed adaptive control algorithm and technological system show significant improvement in shape accuracy according to experimental studies.
Proceedings Paper
Engineering, Industrial
Lukasz Sobaszek, Arkadiusz Gola, Antoni Swic
Summary: This study proposes a robust scheduling method that considers the uncertainty factors of machine failure and variable technological operation times, and presents algorithms for robust scheduling using prediction tools.
INNOVATIONS IN INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Antoni Swic, Arkadiusz Gola, Lukasz Sobaszek
Summary: The article introduces the models of technological systems and the parameters of the control object, providing rationale for control algorithms, system structure selection, and correction device synthesis. It also discusses the use of negative feedback correction devices to improve control system accuracy and create adaptive units that are less sensitive to parameter changes in turning and grinding processes.
ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL
(2021)
