Article
Chemistry, Multidisciplinary
Zheng Liu, Yongjie Li, Nan Zhang, Zhongwei Liang, Fangyi Li
Summary: This study conducted a reliability analysis for CFRP-packaged FBG sensors using FMEA and FTA techniques, providing an important basis for analyzing performance degradation and functional failures of the sensors.
APPLIED SCIENCES-BASEL
(2021)
Article
Polymer Science
Anurag Bagalkot, Dirk Pons, Digby Symons, Don Clucas
Summary: The study analyzed the reasons for failure in 3DIM tools and concluded that injection pressures are not the primary cause of raised feature failures. It also confirmed that the failure of raised features is not necessarily abrupt.
Article
Engineering, Mechanical
Adis J. Muminovic, Nedim Pervan, Muamer Delic, Enis Muratovic, Elmedin Mesic, Sanjin Braut
Summary: Additive manufacturing allows for fast production of polymer gears directly from a 3D model, with the ability to easily replace failed gears using different materials. The mechanical and thermal characteristics of these gears depend on the selected manufacturing parameters and material. This research experimentally investigates the influence of the most important manufacturing parameter, infill percentage, on the failure types and service life of additive manufactured nylon gears.
ENGINEERING FAILURE ANALYSIS
(2022)
Review
Automation & Control Systems
Zhongyi Wu, Weidong Liu, Wenbin Nie
Summary: The current research status of FMEA is reviewed, focusing on failure mode identification, risk assessment, and industrial standard application. The changes of FMEA standards in various fields are summarized and compared, and future development trends are discussed.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Kaitlyn Bower, Metin Ornek, Troy Ansell, I. Emre Gunduz
Summary: Additive manufacturing with high-viscosity pastes can improve part density, reduce slumping and shrinkage. Vibration assisted printing (VAP) is effective in extruding high viscosity materials. However, the mechanical properties and microstructural features of printed parts using viscous pastes are not well understood. This study aims to investigate the effect of printing high viscosity materials on morphology and mechanical behavior.
ADDITIVE MANUFACTURING
(2023)
Article
Energy & Fuels
Joanna Fabis-Domagala, Mariusz Domagala, Hassan Momeni
Summary: Hydraulic systems are widely used in various industries and ensuring their reliability can be achieved through methods like FMEA. However, FMEA has its weaknesses and in recent years, risk analysis has been replaced by fuzzy logic. This study proposes the use of matrix analysis and statistical methods to perform simplified RCA and classify potential failures for variable delivery vane pumps.
Article
Chemistry, Physical
Grzegorz Socha
Summary: A new failure criterion for additively manufactured materials, based on void growth-based ductile failure models, is proposed in this paper. The calibration procedure for the ductile failure criterion is simple and accurate, preventing strain localization from disturbing stress distribution at the failure zone. The original criterion was modified to better fit the deformation behavior of additively manufactured materials, and examples of calibration and analysis for 316L alloy steel are provided.
Article
Chemistry, Physical
Ping Qi Lim, Sue Huey Lim, Maria Sherilyn, Tulio Fernandez-Medina, Saso Ivanovski, Sepanta Hosseinpour
Summary: This study aims to identify and rectify potential clinical risks of a 3D-printed patient-specific scaffold for large-volume alveolar bone regeneration through risk assessment. The survey showed a positive perception of clinicians towards this novel scaffold. The clinical risk assessment revealed two failure modes that should be prioritized for risk mitigation.
Article
Chemistry, Multidisciplinary
Fanbo Meng, Mingchang Zhang, Jin Huang, Wen Feng Lu, Jun Min Xue, Hao Wang
Summary: The study introduces a novel multinozzle, multimaterial printing device that addresses challenges in flexible device manufacturing, enhancing efficiency and stability in capacitor fabrication. Additionally, the interlayer reaction of materials improves battery performance, allowing for >2000 charge/discharge cycles with a high efficiency and capacity.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Engineering, Multidisciplinary
Xinye Cao, Bin Ji, Yongqiang Li, Xiyue An, Hualin Fan, Linda Ke
Summary: Innovative sandwich cylinders with pyramidal lattice truss-cores were designed, printed, tested, and analyzed using selective laser melting (SLM) additive manufacturing (AM) technique. Uniaxial compression tests of two groups of aluminum alloy sandwich cylinders showed failure at facesheet yielding, followed by post-plastic local buckling. A new multi-failure theory was proposed to predict plastic buckling load and provide a hierarchical failure map for optimal design of additively manufactured lattice-core sandwich cylinders.
COMPOSITES PART B-ENGINEERING
(2021)
Article
Mechanics
Zehui Fang, Yuanyuan Ding, Yuting Jiang, Yuxuan Zheng, Zhanjiang Wang, Fenghua Zhou
Summary: The study investigates the failure behavior of stiffness-guided lattice structures under different failure modes, revealing a close relationship between failure behavior, structural parameters, and loading strain rates. The failure modes primarily include unstable collapse, bending collapse, and brittle collapse, which are crucial in the design of lightweight porous materials.
COMPOSITE STRUCTURES
(2021)
Article
Construction & Building Technology
Waleed Ahmed, Essam Zaneldin, Amged El Hassan
Summary: This investigation comprehensively examines the integrity and failure characteristics of deteriorated polymeric components produced through Fused Filament Fabrication (FFF) technology. The study focuses on flawed 3D-printed samples, which were purposely designed with a range of crack types, and geometric features that were initially designed through CAD. The results reveal that parts made by the laser process demonstrated less resistance to failure due to disturbing the 3D-printed extruded filament streams, while parts initially produced solely by the 3D printing process showed better resistance to mechanical failure due to the crack-bridging effect.
Article
Automation & Control Systems
Remigiusz Wisniewski, Justyna Patalas-Maliszewska, Marcin Wojnakowski, Marcin Topczak
Summary: This paper proposes a novel modelling and analysis technique, based on the interpreted Petri net, for the implementation of additive manufacturing (AM) technologies. It introduces a decision support system that helps manufacturing enterprises implement new technologies and deal with unexpected crisis events. The presented verification algorithm allows for the detection of possible unbounded places, providing a more efficient approach compared to existing methods.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Beatriz Ottoni Azevedo Porto Miranda, Antonio Carlos Barbosa Zancanella, Romulo Maziero, Bruno Dorneles de Castro, Juan Carlos Campos Rubio
Summary: This study conducted a failure analysis of a steam generator to investigate the process leading to rupture and corrosion, using FMEA and FTA techniques. It was found that metallographic tests showed small cracks in the base metal, lack of penetration in the welded joint, and misalignment of the joint. Water analysis revealed high chloride ion concentration and low pH in the feedwater, leading to rupture of the passive layer and corrosion.
MATERIA-RIO DE JANEIRO
(2021)
Article
Materials Science, Multidisciplinary
Danny Schappel, Kory D. Linton, Grant W. Helmreich, Tamara J. Keever, Christian M. Petrie
Summary: This study conducted detailed transient testing and post-irradiation examinations on fully ceramic microencapsulated fuel elements containing TRISO fuel particles, and revealed the crack propagation in SiC matrix and failure of TRISO particles. The finite element analysis results validated the experimental findings, explaining the reasons for TRISO particle failure and confirming the high strength of additively manufactured SiC matrix.
JOURNAL OF NUCLEAR MATERIALS
(2023)
Article
Engineering, Mechanical
D. Di Maio, S. Bruinsma, T. Tinga
Summary: This paper introduces a technique for rapid diagnostics of structural integrity utilizing spectral sidebands measured by the CSLDV method. Direct analysis of the spectral sidebands can yield effective, rapid, and straightforward diagnostics. The RASTAR method, exploiting the relative amplitude of the sidebands against a datum reference, serves as an indicator for monitoring structural integrity.
EXPERIMENTAL TECHNIQUES
(2021)
Article
Engineering, Electrical & Electronic
D. P. Rommel, D. Di Maio, T. Tinga
Summary: This paper presents an alternative method for predicting the hot spot temperature and life time of power transformers based on limited information, including transformer rating information and rms current and voltage measurements. The method can evaluate separate transformer losses, create a virtual transformer twin, and calculate temperature distribution in transformer windings to determine the hot spot temperature. The results showed a correlation between calculated losses and hot spot temperature with winding measurements available in literature.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Industrial
Douniel Lamghari-Idrissi, Rob Basten, Geert-Jan van Houtum
Summary: This study investigates spare parts service contracts for capital goods and introduces a flexible-time contract as a solution, proving its advantages through simulation and a Markov decision process.
Review
Engineering, Civil
Annemieke Meghoe, Ali Jamshidi, Richard Loendersloot, Tiedo Tinga
Summary: This paper introduces a hybrid method for assessing rail health, focusing on a specific rail surface defect called head check. The method combines physics-based and data-driven models to simulate defect initiation and evolution on a rail. Ultrasonic and Eddy Current defect detection measurements are used to provide insight into the current rail condition, with a set of predictive Key Performance Indicators proposed to quantify the future rail condition based on defect characteristics.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT
(2021)
Article
Construction & Building Technology
Neda Mostafa, Dario Di Maio, Richard Loendersloot, Tiedo Tinga
Summary: This study investigates the performance of four advanced time-frequency analysis techniques in a vehicle-bridge interaction system, with wavelet synchrosqueezed transform (WSST) identified as the best method for accurately separating and localizing closely spaced resonances. The results from field measurements on the Boyne viaduct in Ireland confirm the capacity of WSST to effectively deal with time-varying vibrations.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Engineering, Multidisciplinary
Ed Habtour, Dario Di Maio, Thijs Masmeijer, Laura Cordova Gonzalez, Tiedo Tinga
Summary: This study introduces a physics-based and data-driven approach for detecting early fatigue damage due to vibratory loads and tracking the evolution of damage in real-time. The findings suggest that the dynamic phase is more sensitive to the evolution of early fatigue damage.
JOURNAL OF NONDESTRUCTIVE EVALUATION, DIAGNOSTICS AND PROGNOSTICS OF ENGINEERING SYSTEMS
(2022)
Article
Management
Yue Zhang, Bram Westerweel, Rob Basten, Jing-Sheng Song
Summary: This study examines how an original equipment manufacturer (OEM) can digitize the spare parts supply chain using 3D printing and intellectual property (IP) licensing. The results show that IP licensing can drive production decentralization in the supply chain, leading to increased profits for the OEM.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Computer Science, Hardware & Architecture
Lisandro Arturo Jimenez-Roa, Tom Heskes, Tiedo Tinga, Marielle Stoelinga
Summary: Fault tree analysis is a well-known technique in reliability engineering and risk assessment, and traditional manual construction of fault tree models is time-consuming and prone to errors. With the development of Industry 4.0, data-driven methods for efficient inference of fault tree structures are becoming relevant. Our algorithm, the FT-MOEA, based on multi-objective evolutionary algorithms, can optimize different metrics simultaneously to achieve efficient and consistent inference of fault tree models.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2023)
Article
Engineering, Industrial
Bas van Oudenhoven, Philippe van de Calseyde, Rob Basten, Evangelia Demerouti
Summary: This paper addresses the acceptance issues of Predictive Maintenance (PdM) solutions and explores how the implementation of PdM systems changes the nature of decision-makers' work and affects their acceptance. Through a literature review and interviews with experts, the study identifies trust, control, cognitive resources, and organizational decision-making as factors that facilitate PdM adoption.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Wieger Tiddens, Jan Braaksma, Tiedo Tinga
Summary: This paper proposes a framework to support asset owners in selecting the optimal predictive maintenance method for their situation. The framework includes classifications of ambition levels, data types, and types of predictive maintenance methods. Four industrial case studies were used to test and demonstrate the effectiveness of the framework.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Multidisciplinary
Annemieke Meghoe, Richard Loendersloot, Tiedo Tinga
Summary: While developing prognostic models is relatively feasible nowadays, implementing and validating these models still face many challenges, including the lack of high-quality input data and limited degradation or failure data. Hence, this study proposes a generic framework for validating prognostic models with limited data based on uncertainty propagation. By using sensitivity indices, correlation coefficients, Monte Carlo simulations, and analytical approaches, the uncertainty in the output of the model can be quantified. A rail wear prognostic model is used as a demonstration, showing that by following this generic framework, the model can be validated and realistic maintenance advice can be provided to rail infrastructure managers even with limited data.
INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT
(2023)
Article
Thermodynamics
Nubia Silveira, Annemieke Meghoe, Tiedo Tinga
Summary: This research proposes and demonstrates a new methodology that integrates different failure mechanisms into an integrated life prediction model. Failure Modes and Effects Analysis is used to identify the different failure mechanisms that occur simultaneously in a component. Physical and empirical models are then analyzed and modified for a realistic case of a centrifugal pump impeller in a maritime environment. The proposed methodology is shown to be more sensitive and reliable in describing the degradation process for a wide range of operating conditions.
ADVANCES IN MECHANICAL ENGINEERING
(2023)
Article
Engineering, Industrial
Ragnar Eggertsson, Rob Basten, Geert-Jan van Houtum
Summary: This study focuses on the inspection and maintenance planning of capital goods, taking into account the imprecise observations and their dependence on the environment. Through the example of HVAC maintenance on trains, it is demonstrated that an environment-dependent policy can lead to cost savings.
Article
Engineering, Industrial
Wieger Tiddens, Jan Braaksma, Tiedo Tinga
Summary: This study conducted a multiple-case study in The Netherlands to identify the reasons why only few companies were able to successfully implement Predictive Maintenance (PdM). The research found that successful implementation of PdM involves a combination of different techniques, although the most commonly used techniques are still based on previous experiences. The study also calls for better methods to guide the selection and use of suitable types of PdM based on the firm's ambitions and available data.
JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING
(2022)
Article
Engineering, Industrial
Tiedo Tinga, Flip Wubben, Wieger Tiddens, Hans Wortmann, Gerard Gaalman
Summary: This work proposes a maintenance policy based on functional usage profiles that reduces the technical demands of existing policies, providing a more accurate maintenance interval specification than traditional usage-based maintenance. This new policy offers operators the opportunity to increase maintenance process efficiency and effectiveness without the need for advanced monitoring systems or expert support.
JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING
(2021)
Article
Engineering, Industrial
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)