A novel parallel auto-encoder framework for multi-scale data in civil structural health monitoring

QR Code

A novel parallel auto-encoder framework for multi-scale data in civil structural health monitoring

In this paper, damage detection/identification for a seven-storey steel structure is investigated via using the vibration signals and deep learning techniques. Vibration characteristics, such as natural frequencies and mode shapes are captured and utilized as input for a deep learning network while...

Full description

Bibliographic Details
Main Authors:	Wang, R., Li, L., Li, Jun
Format:	Journal Article
Published:	2018
Online Access:	http://hdl.handle.net/20.500.11937/72290

Similar Items

Discriminant auto encoders for face recognition with expression and pose variations
by: Pathirage, C., et al.
Published: (2017)

Structural damage quantification using long short-term memory (LSTM) auto-encoder and impulse response functions
by: Chencho,, et al.
Published: (2024)

Stacked Face De-Noising Auto Encoders for Expression-Robust Face Recognition
by: Pathirage, C., et al.
Published: (2016)

Auto-encoder variants for solving handwritten digits classification problem
by: Aamir, Muhammad, et al.
Published: (2020)

Deep residual network framework for structural health monitoring
by: Wang, Ruhua, et al.
Published: (2021)

Object detection utilizing modified auto encoder and convolutional neural networks
by: Khiarak, Jalil Nourmohammadi, et al.
Published: (2018)

Navigating an auto guided vehicle using rotary encoders and proportional controller
by: Lee, Sung How, et al.
Published: (2017)

IoT intrusion detection using auto-encoder and machine learning techniques
by: Khudhu, Ahmed Ridha, et al.
Published: (2022)

Innovative data analysis techniques for structural health monitoring
by: Hao, Hong, et al.
Published: (2017)

Special issue on Structural Health Monitoring: From Data to Decision Making
by: Wang, Y., et al.
Published: (2015)

An enhanced gated recurrent unit with auto-encoder for solving text classification problems
by: Zulqarnain, Muhammad
Published: (2020)

Glass break detection system using deep auto encoders with fuzzy rules induction algorithm
by: Nyein Naing, Wai Yan, et al.
Published: (2019)

Structural Health Monitoring-Oriented Data Mining, Feature Extraction, and Condition Assessment
by: Yi, T., et al.
Published: (2014)

Parallel manipulator for auto tracking system: virtual prototyping using LabVIEW- Solidworks
by: Ramli, Zalifah, et al.
Published: (2012)

A novel Alzheimer disease locus located near the gene encoding tau protein
by: Jun, Gyungah, et al.
Published: (2015)

Preface: Structural health monitoring and vibration control of seismically excited structures
by: Li, J., et al.
Published: (2016)

PID controller tuning via multi-scale control scheme for parallel cascade processes
by: Nandong, Jobrun, et al.
Published: (2014)

Performance evaluation of phase encoding schemes in multi-user networks
by: Thio, T. H. G., et al.
Published: (2014)

Labview based flow rate monitoring and measurement algorithm for rotary encoder
by: Garmabdari, Rasoul, et al.
Published: (2014)

PolyAQG Framework: Auto-generating assessment questions
by: Tan, Tee Hean *, et al.
Published: (2021)

PolyAQG Framework: Auto-generating assessment questions
by: Tan, Tee Hean *, et al.
Published: (2021)

Fuzzy encoder framework for four layers color QR code
by: Badawi, Bakri, et al.
Published: (2019)

SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System
by: Ahmad, Tanvir, et al.
Published: (2023)

Novel Data Analytics for Developing Sensitive and Reliable Damage Indicators in Structural Health Monitoring
by: Peng, Zhen
Published: (2022)

A review of recent research advances on structural health monitoring in Western Australia
by: Li, Jun, et al.
Published: (2016)

Health monitoring of joint conditions in steel truss bridges with relative displacement sensors
by: Li, Jun, et al.
Published: (2015)

Multi-scale Framework for Modelling and Control of Fermentation Processes
by: Nandong, Jobrun, et al.
Published: (2008)

A secure and intelligent framework for vehicle health monitoring exploiting big-data analytics
by: Rahman, Md. Arafatur, et al.
Published: (2022)

Development of a relative displacement sensor for structural health monitoring
by: Li, Jun, et al.
Published: (2013)

Partial characterisation of ATP-binding cassette encoding genes in Cryptosporidium parvum
by: Chan, Li Li, et al.
Published: (2004)

Multi-phase dual-encoder model for anomaly detection in medical imaging
by: Nur Rusyidah Azri,, et al.
Published: (2025)

Multi-resolution Joint Auto Correlograms: determining the distance function
by: Mustaffa, Mas Rina, et al.

Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure
by: Ahmed, Zaheer, et al.
Published: (2019)

Robust position encoding and velocity deduction for real time water level monitoring
by: Alsayed, Abdallah S.Z.
Published: (2015)

Parallel Decentralized Damage Detection of a Structure with Subsets of Parameters
by: Law, S., et al.
Published: (2014)

Cloud-to-cloud data transfer parallelization framework via spawning intermediate instances for scalable data migration
by: Boey, Calvin Mun Lek
Published: (2019)

Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures
by: Hao, Hong, et al.
Published: (2023)

Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
by: Henry Friday , Nweke
Published: (2019)

Sensor technologies in monitoring of civil engineering structures
by: Zawawi, Umi Adzmira
Published: (2006)

Development of Auto Scaling Method for 3D Rock Fragmentation Measurement System
by: Kawamura, Y., et al.
Published: (2017)

Cannot write session to /tmp/vufind_sessions/sess_eiig83l1mevnjpmlkqgu1k2hcd