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Transformer Encoder Based Self-Supervised Learning for Hvac Fault Detection and Diagnostics with Unlabeled Data: A Case Study

https://doi.org/10.2139/ssrn.4662964
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A novel semi-supervised data-driven method for chiller fault diagnosis with unlabeled data
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A review of data-driven fault detection and diagnostics for building HVAC systems
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Diagnostic Bayesian networks for diagnosing air handling units faults – part I: Faults in dampers, fans, filters and sensors
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Least squares support vector machine (LS-SVM)-based chiller fault diagnosis using fault indicative features
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Transfer learning based methodology for migration and application of fault detection and diagnosis between building chillers for improving energy efficiency
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Experimental study on performance assessments of HVAC cross-domain fault diagnosis methods oriented to incomplete data problems
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Semi-supervised learning for early detection and diagnosis of various air handling unit faults
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A semi-supervised approach to fault detection and diagnosis for building HVAC systems based on the modified generative adversarial network
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Comprehensive study on sensitive parameters for chiller fault diagnosis
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A novel image-based transfer learning framework for cross-domain HVAC fault diagnosis: From multi-source data integration to knowledge sharing strategies
inferredcites →https://doi.org/10.1016/j.enbuild.2023.112949openalex-extracted
Interpretation of convolutional neural network-based building HVAC fault diagnosis model using improved layer-wise relevance propagation
inferredcites →https://doi.org/10.1016/j.energy.2022.125679openalex-extracted
Cross temporal-spatial transferability investigation of deep reinforcement learning control strategy in the building HVAC system level
inferredcites →https://doi.org/10.1016/j.energy.2022.125969openalex-extracted
Knowledge-infused deep learning diagnosis model with self-assessment for smart management in HVAC systems
inferredcites →https://doi.org/10.1016/j.energy.2022.126337openalex-extracted
An Evolving Learning-Based Fault Detection and Diagnosis Method: Case Study for a Passive Chilled Beam System
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A novel building heat pump system semi-supervised fault detection and diagnosis method under small and imbalanced data
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Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
inferredcites →https://doi.org/10.1016/j.ijrefrig.2022.08.017openalex-extracted
A comprehensive review: Fault detection, diagnostics, prognostics, and fault modeling in HVAC systems
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Variational transformer-based anomaly detection approach for multivariate time series
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Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future
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A study on semi-supervised learning in enhancing performance of AHU unseen fault detection with limited labeled data
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Review Article : Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part I
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Improved calibration of building models using approximate Bayesian calibration and neural networks
inferredcites →https://doi.org/10.1088/1755-1315/296/1/012042openalex-extracted
Active House and user-friendly visualization of sensors’ monitored data: VELUXlab, a real cognitive and smart NZEB prototype
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Robust Unsupervised Anomaly Detection With Variational Autoencoder in Multivariate Time Series Data
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Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT
inferredcites →https://doi.org/10.1109/tpami.2022.3152247openalex-extracted
A Survey on Vision Transformer
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Anomaly Detection in Streams with Extreme Value Theory
inferredcites →https://doi.org/10.1145/3447548.3467401openalex-extracted
A Transformer-based Framework for Multivariate Time Series Representation Learning
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Position Information in Transformers: An Overview
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Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
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An Overview of End-to-End Automatic Speech Recognition
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AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.4230/lipics.time.2024.17openalex-extracted
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-extracted
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1907.00235openalex-extracted
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
inferredcites →https://doi.org/10.48550/arxiv.2009.06732openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-extracted
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2012.07436openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2106.13008openalex-extracted
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
inferredcites →https://doi.org/10.48550/arxiv.2201.07284openalex-extracted
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
inferredcites →https://doi.org/10.48550/arxiv.2201.12740openalex-extracted
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
inferredcites →https://doi.org/10.48550/arxiv.2306.10125openalex-extracted
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Spiral Time: A Geometric Reframing of Temporal Structure and Its Applications in Machine Learning
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Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
inferredcites →https://doi.org/10.1145/3530811openalex-snapshot
Efficient Transformers: A Survey
inferredcites →https://doi.org/10.5281/zenodo.6845852openalex-snapshot
Improved Calibration of Building Models using Approximate Bayesian Calibration and Neural Networks
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