相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A novel condition-based maintenance framework for parallel manufacturing systems based on bivariate birth/birth-death processes
Fariba Azizi et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2023)
Optimization of condition-based maintenance for multi-state deterioration systems under random shock
Yingsai Cao et al.
APPLIED MATHEMATICAL MODELLING (2023)
Condition-based maintenance for a multi-component system in a dynamic operating environment
Nan Zhang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2023)
Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds
Cyprien Hoelzl et al.
SENSORS (2023)
Digital twins in condition-based maintenance apps: A case study for train axle bearings
Adolfo CRESPO Marquez et al.
COMPUTERS IN INDUSTRY (2023)
A Low-Cost Multi-Sensor Data Acquisition System for Fault Detection in Fused Deposition Modelling
Satish Kumar et al.
SENSORS (2022)
Voting-Based Ensemble Learning Algorithm for Fault Detection in Photovoltaic Systems under Different Weather Conditions
Nien-Che Yang et al.
MATHEMATICS (2022)
Tool Condition Monitoring for High-Performance Machining Systems-A Review
Ayman Mohamed et al.
SENSORS (2022)
Online Bearing Fault Diagnosis Based on Packet Loss Influence-Inspired Retransmission Mechanism
Zhe Tong et al.
MATHEMATICS (2022)
SMoCo: A Powerful and Efficient Method Based on Self-Supervised Learning for Fault Diagnosis of Aero-Engine Bearing under Limited Data
Zitong Yan et al.
MATHEMATICS (2022)
Integration of Maintenance Management System Functions with Industry 4.0 Technologies and Features-A Review
Basheer Wasef Shaheen et al.
PROCESSES (2022)
Design and development of a high-speed data acquisition system for acquiring acoustic emission signals
Sucharitha Saha et al.
MATERIALS TODAY-PROCEEDINGS (2022)
Condition monitoring and intelligent diagnosis of rolling element bearings under constant/variable load and speed conditions
Ali Moshrefzadeh
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Estimation of Pollutant Emissions in Real Driving Conditions Based on Data from OBD and Machine Learning
Nestor Diego Rivera-Campoverde et al.
SENSORS (2021)
Automated Machine Health Monitoring at an Expert Level
Nadine Martin et al.
ACOUSTICS AUSTRALIA (2021)
Development of a Low-Cost System for the Accurate Measurement of Structural Vibrations
Seyedmilad Komarizadehasl et al.
SENSORS (2021)
Bearing Severity Fault Evaluation Using Contour Maps-Case Study
Cesar Ricardo Soto-Ocampo et al.
APPLIED SCIENCES-BASEL (2021)
Tool condition monitoring techniques in milling process - a review
T. Mohanraj et al.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2020)
Fault diagnosis for open-circuit faults in NPC inverter based on knowledge-driven and data-driven approaches
Lei Kou et al.
IET POWER ELECTRONICS (2020)
Low-Cost, High-Frequency, Data Acquisition System for Condition Monitoring of Rotating Machinery through Vibration Analysis-Case Study
Cesar Ricardo Soto-Ocampo et al.
SENSORS (2020)
Requirements for Big Data Adoption for Railway Asset Management
P. Mcmahon et al.
IEEE ACCESS (2020)
Condition monitoring of critical mechanical elements through Graphical Representation of State Configurations and Chromogram of Bands of Frequency
Alejandro Bustos et al.
MEASUREMENT (2019)
An adaptive sensitive frequency band selection method for empirical wavelet transform and its application in bearing fault diagnosis
Kun Yu et al.
MEASUREMENT (2019)
ACCUGRAM: A novel approach based on classification to frequency band selection for rotating machinery fault diagnosis
Zhiliang Liu et al.
ISA TRANSACTIONS (2019)
Onboard Condition Monitoring Sensors, Systems and Techniques for Freight Railway Vehicles: A Review
Esteban Bernal et al.
IEEE SENSORS JOURNAL (2019)
A statistical methodology for the design of condition indicators
Jerome Antoni et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Design and testing of an innovative monitoring system for railway vehicles
Nicola Bosso et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT (2018)
Design and Development of a 5-Channel Arduino-Based Data Acquisition System (ABDAS) for Experimental Aerodynamics Research
Antonio Vidal-Pardo et al.
SENSORS (2018)
Online feature learning for condition monitoring of rotating machinery
S. Martin-del-Campo et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
Wade A. Smith et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
Implementation of Envelope Analysis on a Wireless Condition Monitoring System for Bearing Fault Diagnosis
Guo-Jin Feng et al.
INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING (2015)
Artificial neural network based fault diagnostics of rolling element bearings using time-domain features
B Samanta et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2003)