About the Journal
The Asia-Pacific Conference of the Prognostics and Health Management (PHM) Society is held in the spring of odd years (starting in 2017) and brings together the global community of PHM experts from industry, academia, and government in diverse application areas including energy, aerospace, transportation, automotive, manufacturing, and industrial automation.
All articles published by the PHM Society are available to the global PHM community via the internet for free and without any restrictions.
Current Issue
Invited Papers
Shipping inspection trial of quantum machine learning toward sustainable quantum factory
Takao Tomono, Satoko Natsubori
Regular Session Papers
A Comparative Study of K-Means Clustering and a Novel Ranking Algorithm for Risk Priority Number Analysis in FMECA
Jiaxiang Cheng, Sungin Cho, Yap Peng Tan, Guoqiang Hu
A Concept of Condition Monitoring for AC-DC Converter Output Capacitors via Discriminative Features
Akeem Bayo Kareem, Jang Wook Hur
A monitoring method for detecting and localizing overheat, smoke and fire faults in wind turbine nacelle
Minsoo Lee, Eunchan Do, Ki-Yong Oh
A Multi-periodicity and Multi-scale Network for Motor Fault Diagnosis
Pengcheng Xia, Kaiwen Zhang , Yixiang Huang , Chengliang Liu
A Physics Informed Machine Learning Approach for Performance Degradation Monitoring of Gas Turbine
Yiyang Liu, Xiaomo Jiang, Xin Ge, Manman Wei
A Reliability-Centered Maintenance Framework for Distribution Grids Based on Fault-Tree Analysis
Ting Wang, Guoqiang Hu, Sungin Cho
A Signal Pre-processing Method for Condition Monitoring based on Vibration Signals from On-Site Manipulators
Hea-Ryeon Seo, Geonhwi Lee, Gun Sik, Jae Min, Deog Hyeon Kim, Jin Woo Park, Hae-Jin Choi
A Simple Remaining Useful Life Algorithm Using the Quadratic
Eric Bechhoefer , Nobuhiro Fujiki, Yusuke Kitsutaka, Sotaro Tsukamoto, Akio Usui
A Simplified Framework for Fault Prediction in Radar Transmitter based on Vector Autoregression Model
Sheriff Murtala, Soojung Hur, Yongwan Park
A Survey of Prognostics and Health Management for Transformers: From Statistical Analysis to Condition-Based Diagnostics
Jiaxiang Cheng, Sungin Cho, Yap Peng Tan, Guoqiang Hu
Abnormal Detection Using Two-Stage Method in Combined Power Plant
Yun Hee Kim , Suk Joo Bae
Advanced condition-based monitoring of CFRP under multiple impacts using monte carlo based prognostics and real-time self-sensing data
Yong Lee , So Young Oh , Jang Juhyeong , Young-Bin Park
Advanced Weibull Modelling with Outliers
Yipeng Pang, Guoqiang Hu, Sungin Cho
AI image analysis technologies for efficient water pipeline inspection
Ying Piao, Hiroshi Sukegawa, Kenji Kimiyama, Kensuke Nakamura, Toshiharu Sugino, Takaharu Kunizane, Akira Koizumi
An Enhanced Model-Based Algorithm for Early Internal Short Circuit Detection in Lithium-Ion Batteries
Yiqi Jia, Lorenzo Brancato, Marco Giglio, Francesco Cadini
An improved OAKR approach to condition monitoring of rotating machinery
Kexin Zhang, Xiaomo Jiang
Analysis of Diagnostic Capabilities for Degradation of Brushless Direct Current Motors Depending on Varying Simulation Data
Max Weigert
Analysis of Statistical Data Heterogeneity in Federated Fault Identification
Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami
Anomaly data synthesis and detection via domain randomization
Joonha Jun, Jongsoo Lee
Application of Model-based Deep Reinforcement Learning Framework to Thermal Power Plant Operation Considering Performance Change
Yutaka Watanabe, Takehisa Yairi
Architecting a Digital Twin-Based Predictive Maintenance System for Modelling Cable Joint Degradation
Raymon van Dinter, Görkem Ekmekci, Sander Rieken, Bedir Tekinerdogan, Cagatay Catal
Assessing the Performance of Transformer for Time Series Anomaly Detection
Takuto Nakashima , Takehisa Yairi
Automatic detection of hardware failures in an air quality measuring station with low cost sensors
Sylvain Poupry, Kamal Medjaher, Cédrick Béler
Automatic Generation of Seven-Segment Display Image for Machine-Learning-Based Digital Meter Reading
Kota Gushima , Takahiro Kashima
Automating daily inspection for Expressways using anomaly detection model
Yuta Shirakawa, Satoshi Ito, Reiko Noda, Naoto Yoshitani, Masahide Wake, Honoka Takano
Bayesian-based Component Lifetime Prediction Model Using Workshop and Telematics Data
Seungyoung Park, Jihyun Lee
Bridging the Gap: A Comparative Analysis of Regressive Remaining Useful Life Prediction and Survival Analysis Methods for Predictive Maintenance
Mahmoud Rahat , Zahra Kharazian , Peyman Sheikholharam Mashhadi, Thorsteinn Rögnvaldsson, Shamik Choudhury
Change Point-based Spatio-temporal Process Modeling of Image Degradation for Manufacturing Process
Munwon Lim , Suk Joo Bae
Comprehensive Failure Diagnosis Model with Degradation Indicators of Multiple Sensors
Jun Tominaga, Shoya Kamiaka, Kohei Kuroda
Configuration and Comparative Study of Prediction Models for Indoor Air Quality
Geonhwi Lee, Hea-Ryeon Seo , Hae-Jin Choi
Deep Learning-Enabled Statistical Model Estimation for Power Transformers with Censoring and Truncation Problems
Jiaxiang Cheng, Sungin Cho, Yap Peng Tan, Guoqiang Hu
Demonstration of Sensor Monitoring of Lubricants
Kyoko Kojima
Detection and Diagnostic with Random Forest Classifier (RFC) to Improve the Maintenance Management System in Steam Boiler of Power Plant
Ghiffari Awliya Muhammad Ashfania, Tarwaji Warsokusumo, Toni Prahasto, Achmad Widodo
Development of an Operational Digital Twin of a Locomotive Braking System Solenoid Valve for Fault Classification
Gabriel Davidyan, Jacob Bortman, Ron.S Kenett
Differential Diagnosis with Active Testing
Emile van Gerwen, Leonardo Barbini, Michael Borth
Discovering Premature Replacements in Predictive Maintenance Time-to-Event Data
Abdallah Alabdallah, Thorsteinn Rognvaldsson, Yuantao Fan , Sepideh Pashami, Mattias Ohlsson
Elastic Wave Field Neural Networks for Structural Health Monitoring: An Analytical and Numerical Study of Multiple Neurons
Arata Masuda, Konosuke Takashima
Energy Saving Structural Health Monitoring Using Semi-Active Identification
Yushin Hara, Tianyi Tang, Keisuke Otsuka, Kanjuro Makihara
Ensemble Neural Networks for Remaining Useful Life (RUL) Prediction
Abhishek Srinivasan, Juan Carlos Andresen, Anders Holst
Evaluation of Multi-Modal Learning for Predicting Coolant Pump Failures in Heavy Duty Vehicles
Yuantao Fan, Amine Atoui, Slawomir Nowaczyk, Thorsteinn Rognvaldsson
Event detection in a noisy time series data using static smoothening and gradient variation analytics
Saravanaram T, Unnat Mankad, Simi Madhavan Karatha, Carmine Allegorico, Arati Halaki
Explainable multimodal learning for predictive maintenance of steam generators
Duc An Nguyen , Sagar Jose, Thi Phuong Khanh Nguyen, Kamal Medjaher
Failure Prediction of Hard Disk Drives in Redundant Arrays Using Disk-Level Performance Metrics
Masanao Natsumeda
Fully Unsupervised Defect Clustering using Adversarial Autoencoder
Taewan Kim, Seungchul Lee
Fusion with Joint Distribution and Adversarial Networks: A New Transfer Learning Approach for Intelligent Fault Diagnosis
Xueyi Li, Tianyu Yu, David He, Zhijie Xie, Xiangwei Kong
Fuzzy-membership-based labeling: a new labeling method for both classification task and regression task
Diwang Ruan, Zhaorong Li, Yuheng Wu, Jianping Yan, Clemens Gühmann
Health Monitoring of Power Semiconductor Module Using Temperature Sensitive Electrical Parameter
Guesuk Lee, Sungsoon Choi , Byongjin Ma, Kim Jemini
Improving Anomalous Sound Detection by Distance Matrix-Based Visualization of Measurement Flaws
Nobuaki Tanaka, Takeru Shiraga, Yusuke Itani
Long-Term Preventive Failure Mitigation Strategy For Transformers Based on Markov Method
Jianzheng Wang, Guoqiang Hu, Sungin Cho
Multi-Label Fault Diagnosis of Rotary Machine via Domain Adversarial Neural Network-Based Domain Generalization Targeting High Range Rotating Speed
Sukeun Hong, Jongsoo Lee
Multiphysics-informed DeepONet of a lithium-ion battery to predict thermal runaway
Jinho Jeong, Eunji Kwak, Jun-Hyeong Kim, Ki-Yong Oh
Novel Ensemble Domain Adaptation Methodology for Enhanced Multi-class Fault Diagnosis of Highly-Connected Fleet of Assets
Takanobu Minami, Alexander Suer, Pradeep Kundu, Shahin Siahpour, Jay Lee
Observation and Prediction of Instability due to RD Fluid Force in Rotating Machinery by Operational Modal Analysis
Daiki Goto, Tsuyoshi Inoue, Akira Heya, Shogo Kimura, Shinsaku Nakamura, Yusuke Watanabe
Online fault detection for industrial processes through Kalman filter
Wenyi Liu , Takehisa Yairi
Physical Reservoir-Based Health Monitoring of a Structure with Nonlinear Attachments
Arata Masuda, Konosuke Takashima
Prediction of Impact Information of Composites Laminates Considering the Practicality
Saki Hasebe, Ryo Higuchi, Tomohiro Yokozeki, Shin-ichi Takeda
Prognosis using Bayesian Method by Incorporating Physical Constraints
Hyung Jun Park, Nam Ho Kim, Joo-Ho Choi
Prognostics in Highly Accelerated Limit Testing Using Deep Learning Data Analysis
Tadahiro Shibutani
Quantum Optimization for Location Assignment Problem in ASSR
Kuniaki Satori, Nobuyuki Yoshikawa
Research on the method of digital twin operation and maintenance platform for intelligent early warning of wind turbine tower
Yu Jia, Xiaomo Jiang
Sequential Domain Adaptation for Fault Diagnosis in Rotating Machinery
Yong Chae Kim, Jin Uk Ko, Jinwook Lee, Taehun Kim , Joon Ha Jung, Byeng D. Youn
Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses
Van Truong Hoang, Quang Nguyen, Quoc Cuong Nguyen, Xuan Phong Nguyen, Hoang Nguyen
Statistical Analysis and Runtime Monitoring for an AI-based Autonomous Centerline Tracking System
Yuning He, Johann Schumann
Study on the intermittent fault mechanism of electromagnetic relay under complex environmental stress
Ye Jingzhong, Lyu Kehong, Liu Guanjun, Qiu Jing
System-Level Simulation of 120 kW Interior Permanent Magnet Synchronous Motor Drive for Electric Vehicle Usage Under Various Types of Faults for Fault Diagnosis
Woyeong Kwon, Jaewook Oh, Inhyeok Hwang, Namsu Kim
Simulation-driven Bearing Fault Diagnosis for Condition Monitoring without Faulty Data
Iljeok Kim, Seungchul Lee
Tacholess Instantaneous Speed Estimation Considering the Characteristics of Vibration Harmonics
Jinoh Yoo, Jongmin Park, Taehyung Kim, Jong Moon Ha, Byeng Dong Youn
To Trust or Not: Towards Efficient Uncertainty Quantification for Stochastic Shapley Explanations
Joseph Cohen, Eunshin Byon, Xun Huan
Trip Reduction in Turbo Machinery
Pranay Mathur , Carlo Michelassi , Simi Madhavan Karatha , Gilda Pedoto , Miguel Gomez Alguacil
Unsupervised Anomaly Detection in Marine Diesel Engines using Transformer Neural Networks and Residual Analysis
Qin Liang, Knut Erik Knutsen, Erik Vanem, Houxiang Zhang, Vilmar Æsøy
Unsupervised Retrieval Based Multivariate Time Series Anomaly Detection and Diagnosis with Deep Binary Coding Models
Takehiko Mizoguchi, Yuji Kobayashi , Yasuhiro Ajiro
V-belt Tension Reduction Diagnostic Method By Using Multi-Frequency Current Power Spectrum Density
Hiroshi Inoue, Ken Hirakida, Makoto Kanemaru, Peng Chen
Data Challenge Papers
Anomaly Detection in Spacecraft Propulsion System using Time Series Classification based on K-NN
Yoshiki Kato, Taku Kato, Tsubasa Tanaka
Dataset Generation Based on 1D-CAE Modeling for Fault Diagnostics in a Spacecraft Propulsion System
Kohji Tominaga, Yu Daimon, Masao Toyama, Kazushi Adachi, Seiji Tsutsumi, Noriyasu Omata, Taiichi Nagata
Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System
Osarenren Kennedy Aimiyekagbon, Alexander Lowen, Amelie Bender, Lars Muth, Walter Sextro
Hybrid Approach of XGBoost and Rule-based Model for Fault Detection and Severity Estimation in Spacecraft Propulsion System
Sang Kyung Lee, Jiwon Lee, Seungyun Lee, Bongmo Kim, Yong Chae Kim, Jinwook Lee, Byeng Dong Youn
PHM for Spacecraft Propulsion Systems: Similarity-Based Model and Physics-Inspired Features
Takanobu Minami, Jay Lee
Special Session Papers
A Feature Selection Method for Machine Tool Wear Diagnosis
Yuji Homma, Takaaki Nakamura
A Health Index for Satellite System Based on Characteristics of Telemetry Data
Shun Katsube, Hironori Sahara
A Method for Executing Digital System Models and Digital Twins at Scale to Enrich Fleet Health Management
Daniel Newman
A new approach to multivariate statistical process control and its application to wastewater treatment process monitoring
Osamu Yamanaka, Yukio Hiraoka
A New Challenge in Predictive Maintenance Analysis for Aircraft
Takashi Takemura
A Quantitative Analysis of Domain Discrepancies Between General- Speed and Very Low-Speed Bearings and Its Applications to Fault Diagnosis of Very Low-Speed Bearings Using Transfer Learning
Seungyun Lee, Sungjong Kim, Su J. Kim, Jiwon Lee, Heonjun Yoon, Byeng D. Youn
A Simple Hybrid Model for Estimating Remaining Useful Life of SiC MOSFETs in Power Cycling Experiments
Mattias P. Eng, Andreas Lövberg, Maciej Misiorny, Wilhelm Söderkvist Vermelin, Klas Brinkfeldt, Madhav Mishra
A study on self-diagnosis/prediction technology for LIDAR sensor of autonomous vehicles
Jaewook Lee, Jongsoo Lee
A Study on the Intent-based System Design Automation Method for Fault Detection and Fault Tolerance
Takayuki Kuroda, Toshiki Watanabe, Tatsuya Fukuda
A two-step detection method for actuator and sensor failures based on self-repairing PID control
Masayoshi Hara, Masanori Takahashi
Acoustic Signal based Non-Contact Ball Bearing Fault Diagnosis Using Adaptive Wavelet De-Noising
Wonho Jung, Sung-Hyun Yun, Yong-Hwa Park
Advancing Predictive Maintenance: A Study of Domain Adaptation for Fault Identification in Gearbox Components
Shinya Tsuruta, Koji Wakimoto, Takaaki Nakamura, Shahin Siahpour, Marcella Miller, John Taco, Jay Lee
Algorithmic Study for Power Restoration in Electrical Distribution Networks
Jun Kawahara, Chuta Yamaoka, Takehiro Ito, Akira Suzuki, Daisuke Iioka, Shuhei Sugimura, Seiya Goto, Takayuki Tanabe
An Easy-to-Use and Customizable Data Science Tool for Predictive Maintenance in Manufacturing
Naoki Sugawara
An Experimental Study of the Effect of Patrol Inspection Strategy for Improving Detection Rate of Abnormality of Industrial Plants
Akio Gofuku, Riku Kishimoto
Anomaly detection for yield improvement in glass production
Haruo Yonemori, Kenichi Arai, Hironobu Yamamichi , Ichiro Sakata, Makoto Imamura
Anomaly Detection in Air Handling Units using Motor Current Signal Imaging for Belt Looseness Detection
Sung Hyun Yun, Wonho Jung, Daeguen Lim, Yong-Hwa Park
Anomaly Detection in Airliner Centrifugal Compressor Using Sensor Data during the Climb Phase
Sadanari Shigetomi, Makoto Imamura, Naoya Kaido , Makoto Taniguchi , Masaru Nishiwaki , Junichiro Kaya
Anomaly detection of propulsion system of spacecrafts with Light GBM
Shota Iino, Hideki Nomoto, Takayuki Hirose, Yasutaka Michiura, Go Fujii, Takashi Uchiyama
Anomaly Sign Detection for Automatic Ticket Gates by the Histogram Limitation Method
Ken Ueno, Shigeru Maya, Kiyoku Endo
Applications of Active Learning in Predictive Maintenance
Navid Zaman, You Jung Jun, Yan Li, Daniel Chan
Automatic Detection of Concrete Surface Defects Using Deep Learning and Laser Ultrasonic Visualization Testing
Takahiro Saitoh, Syumpei Ohyama, Tsuyoshi Kato, Sohichi Hirose
AVIATAR – Deep dive into prediction with AVIATAR with in-service examples from airlines
Sebastian Lang
AVIATAR – Optimizing airline flight operations with Predictive Health Analytics and building on digital platform technology
Mia Witzig
Building The Health Monitoring and Fault Diagnosis Models For Stamping Press
Yuan-Jen Chang, Lin-Jie Chen, Yuta Tu, Hung-Pin Yang, Chen-Kang Lee
Condition-based Maintenance of Brake Pads and Tires in Shared Vehicles using Cloud-based Health monitoring and prognostics.
Jeong Hae Lee, Jaewook Oh, Jeongwoo Lee, Seungyoung Park, Jihyeon Lee, Namsu Kim
Construction and evaluation of an anomaly detection system using System Invariant Analysis Technology(SIAT) for sound data
Tomoya Soma, Akiko Sasaki
Damage-Based Lifetime Modeling for Power Electronic Devices
Chao Guo, Chao Guo, Zhonghai Lu
Data-Driven Prognostics and Diagnostics of Industrial Machinery — A Turbofan Engine Case Study
Russell Graves, Peeyush Pankaj, Vineet J Kuruvilla, Rachel Johnson, Michio Inoue
Data-driven Pump Performance Analysis Using Online Monitoring Data Accumulated with Supervisory Control and Data Acquisition System
Ryo Namba, Hiroyuki Hokari, Hideaki Komine
Data-driven satellite monitoring method applicable to various telemetry
Noriyasu Omata, Seiji Tsutsumi , Abe Masaharu , Iku Shinohara
Deep Learning Approach for Operational Transfer Path Analysis: Case Study of Electric Vehicles
Jeongmin Oh , Donghwi Yoo, Hyunseok Oh, Yong Hyun Ryu , Kyung-Woo Lee, Dae-Un Sung
Deep Learning/Machine Learning Techniques for Vibration Condition Monitoring of Major Facilities in Automobile Assembly/Painting Plants
Gun Sik Kim, Deog Hyeon Kim, Jin Woo Park, Ju Heon Hwang
Deep Metric Learning for Abnormal Rotation Detection of Satellites from Irregularly Sampled Light Curve
Jun Yoshida, Ryosuke Togawa, Taichiro Sano
Deep Neural Network Anomaly Detection and Statistical Estimation of High Pressure Liquefied Natural Gas Pipe
Dabin Yang, Jongsoo Lee
Design of a Framework for Demand Forecasting Using Time Series Decomposition-Based Approach
Hazuki Shibayama, Aya Ishigaki, Takasumi Kobe, Takafumi Ueda, Daichi Arimizu, Takaaki Nakamura
Demonstration of model-based real-time anomaly detection in a JAXA 6.5m×5.5m low-speed wind tunnel.
Shotaro Hamato, Seiji Tsutsumi , Hirotaka Yamashita, Tatsuro Shiohara, Tomonari Hirotani , Hiroyuki Kato
Development of a space exploration rover digital twin for damage detection
Lucio Pinello, Marco Giglio, Claudio Cadini, Giuseppe Francesco De Luca
Development of an Amine Antioxidant Depletion Diagnosis Method Using Colorimetric Analysis of Membrane Patches
Tomomi Honda, Daisuke Hamano
Development of demonstration system for fault diagnosis of rotating equipments using RK4 test rig
Hyun Joon Lee, Jae Won Jang, Hyung Jun Park, Kyoung Rae Noh, Sangchul Lee , Joo-Ho Choi
Digital Twin for condition based maintenance within a railway infrastructure testing lab
Antonio J. Guillén López, Juan Fco. Gómez Fernández, Pedro Urda, Jose Luis Escalona, Adolfo Crespo Márquez, Fernando Olivencia
Digital Twin for Diagnosis of Belt Looseness in HVAC Systems using multi-body dynamics simulation
Daeguen Lim, Wonho Jung, Sung Hyun Yun, Yong Hwa Park, Gil-Yong Lee
Digital Twin of Built Structures assisted by Computer Vision Techniques: Overview and Preliminary Results
Yasutaka Narazaki
Effect of Aircraft Health Management on Aircraft Maintenance Program Development by Aircraft Manufacturer
Takuro Koizumi, Nozomu Kogiso
Efficient Inspection of Civil Engineering Structures for Railways and Roads Using Images and GNSS
Tomoya Abe, Masashi Ueda, Yuki Watanabe, Yoshiyuki Matsui, Takato Yasuno
Expert Knowledge Transfer from CAE Models to CNN Models Using Enhanced Adversarial Domain Adaptation
Minseok Choi, Dongmin Lee, Mikyung Hwang, Dongwhi Yoo, Hyunseoh Oh
Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors
Dehong Liu, Anantaram Varatharajan, Abraham Goldsmith
Fault Detection of Rotor Bars in Inverter-Fed Induction Motors Based on Current Signature Analysis Technique
Tomoyuki Iwawaki, Makoto Kanemaru, Yuto Yasuhara, Toshihiko Miyauchi
Few-Shot Learning for Full Ceramic Bearing Fault Diagnosis with Acoustic Emission Signals
David He, Miao He, Alessandro Taffari
Field study toward anomaly road damage detection with drive recorder
Masato Tsuchiya, Ken Miyamoto, Takashi Ota, Yasushi Sugama
Imbalanced Anomaly Detection Using Augmented Deeper FCDDs for Wooden Sleeper Deterioration Prognostics
Takato Yasuno, Junichiro Fujii, Masahiro Okano
Improvement in Identification Accuracy of a Failure Diagnostic System for a Reusable Rocket Engine
Fumihisa Nagashima, Hatsuo Mori, Yasuhiro Ishikawa , Sato Masaki , Tomoyuki Hashimoto
Industrial automation findings: Smart Manufacturing Kaizen Level (SMKL) based maturity evaluation access to digital transformation and decarbonization
Nicole S. Otoki, Yasuo Onodera, Mitsushiro Fujishima
Integration of Health Monitoring of Cutting Tools and Production Scheduling in Smart Factory
Hitoshi Komoto, German Herrera, Jonny Herwan, Yoshiyuki Furukawa
Lessons Learned from Aircraft Component Failure Prediction using Full Flight Sensor Data
Changzhou Wang, Darren Puigh, Audrey Lei, Wei Guo, Jun Yuan, Mark Mazarek
Machine learning model for detecting hydrogen leakage from hydrogen pipeline using physical modeling
Yuki Suzuki, Jo Nakayama, Tomoya Suzuki, Tomoya Soma, Yu-ichiro Izato, Atusmi Miyake
MLOps for PHM Systems
Mikael Yemane
Model Based and Big Data Enabled Predictive Maintenance Capability Development Experience
Mark Mazarek , Darren Macer , Changzhou Wang
Modeling of Journal Bearings for Wear Diagnosis and Its Verification Using SVM
Masaki Goto , Tsuyoshi Inoue , Akira Heya , Keiichi Katayama, Shogo Kimura, Shigeyuki Tomimatsu, Shota Yabui
Non-destructive Prognostics for Rolling Bearings by Eddy Current Testing
Daisuke Kobayashi, Koichiro Ono, Masahide Natori, Hiroki Komata
Nonlinear Model Predictive Control using Neural ODE Replicas of Dynamic Simulators
Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka
Observation Maintenance for Bridges Using Early Detection of Deterioration Progress
Hitoshi Ito, Toshiaki Mizobuchi
Operational Prognostic Model Evaluation
Shashvat Prakash, Katarina Vuckovic , Sanket Amin
Outlier Analysis of Bridge Deflections Using Satellite SAR and Structural Simulation: A Case Study on a Collapse Accident in a Water Pipe Bridge in Japan
Kosuke Kinoshita, Yoshiyuki Yajima, Takahiro Kumura, Mayuko Nishio
Pipe Corrosion Inspection System based on Human-in-the-Loop Machine Learning
Toshihiro Shimbo, Yousuke Okada, Hitoshi Matsubara
Power Consumption Optimization for Electric Arc Furnace with Time Series Prediction
Jaehyuk Lee, Songhwan Kim, Boseon Yoo , Jaesik Choi
Prediction of Remaining Life of Turbo Pump Inducer for Spacecraft Using Cumulative Damage Model
Hatsuo Mori, Makoto Imamura
Predictive Maintenance for station equipment and Applications for the Space field
Ryoma Yokoyama, Ryosuke Kono, Atsushi Matsuda, Yohei Shiomi
Predictive modelling for airline technical operations
Dimitri Reiswich
Proposal of a Time Series Anomaly Detection Method Using Image Encoding Techniques
Ryo Sakurai, Takehisa Yairi
Quality Management for Machine Learning Systems
Yutaka Oiwa
Resilient Operation Planning for CubeSat Using Reinforcement Learning
Shuntaro Kuroiwa, Nozomu Kogiso
RUL Estimation for Package Failure of Power Electronic Devices Using Integral Mean of Precursor Signal
Zhonghai Lu, Chao Guo , Pol Ghesquiere , Kai Kriegel, Gerhard Mitic
Semi-supervised machine learning for motor eccentricity fault diagnosis
Bingnan Wang, Shen Zhang, Hiroshi Inoue, Makoto Kanemaru
Size Estimation of Flaking in Rolling Bearings Using Deep Learning with Explainability
Osamu Yoshimatsu, Keiichiro Taguchi, Sato Yoshihiro, Takehisa Yairi
SKYWISE - Big data platform as a foundation of airlines predictive and health monitoring
William Bernard, Anthony Hoffmann
Study of Localization of Partial Discharges in Oil-filled Transformers using Acoustic Emission Signals
Yasutomo Otake, Kunihiko Tajiri
Systemic symptom detection in telemetry of ISS with explainability using FRAM and SpecTRM
Shota Iino, Hideki Nomoto, Takashi Fukui, Sayaka Ishizawa, Miki Sasaki, Yohei Yagisawa, Takayuki Hirose, Yasutaka Michiura, Hiroharu Shibayama
Study on Fault Diagnosis in a Spacecraft Propulsion System
Kazushi Adachi, Samir Khan, Kohji Tominaga, Noriyasu Omata, Seiji Tsutsumi, Taiichi Nagata
Study on the Estimation of Concrete Defects Volume on Dam Body Surface
Akira Ishii, Hiroaki Sugawara, Masazumi Amakata
Time Shifting Data Augmentation to Alleviate Class-Imbalance Problem for Cross-Domain Bearing Fault Diagnosis
Donghwi Yoo, Minseok Choi, Hyunseok Oh