ReviewSensors (Basel, Switzerland)2021
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Proactive Maintenance of Pump Systems Operating in the Mining Industry-A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Deep learning framework for predicting measurement error drift in smart meter sensors under harsh coastal environments.PloS one · 2026Article
- AI-Driven Digital Twins for Manufacturing: A Review Across Hierarchical Manufacturing System Levels.Sensors (Basel, Switzerland) · 2025Review
- Low-Cost IoT-Based Predictive Maintenance Using Vibration.Sensors (Basel, Switzerland) · 2025Article
- Innovative Technologies to Improve Occupational Safety in Mining and Construction Industries-Part I.Sensors (Basel, Switzerland) · 2025Review
- Towards Maintenance 5.0: Resilience-Based Maintenance in AI-Driven Sustainable and Human-Centric Industrial Systems.Sensors (Basel, Switzerland) · 2025Review
- Motor Temperature Observer for Four-Mass Thermal Model Based Rolling Mills.Sensors (Basel, Switzerland) · 2025Article
- A Machine Learning Implementation to Predictive Maintenance and Monitoring of Industrial Compressors.Sensors (Basel, Switzerland) · 2025Article
- Intelligent control algorithms for posture and height control of four-leg hydraulic supports.Scientific reports · 2025Article
- Health state prediction with reinforcement learning for predictive maintenance.Frontiers in artificial intelligence · 2025Article
- Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection.Sensors (Basel, Switzerland) · 2024Article
- Securing Cloud-Based Internet of Things: Challenges and Mitigations.Sensors (Basel, Switzerland) · 2024Review
- Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework.Sensors (Basel, Switzerland) · 2024Article
- An Overview of Software Sensor Applications in Biosystem Monitoring and Control.Sensors (Basel, Switzerland) · 2024Review
- Smart Wireless Transducer Dedicated for Use in Aviation Laboratories.Sensors (Basel, Switzerland) · 2024Article
- Towards Flexible and Low-Power Wireless Smart Sensors: Reconfigurable Analog-to-Feature Conversion for Healthcare Applications.Sensors (Basel, Switzerland) · 2024Article
- Article
- Implementation of a Sequence-to-Sequence Stacked Sparse Long Short-Term Memory Autoencoder for Anomaly Detection on Multivariate Timeseries Data of Industrial Blower Ball Bearing Units.Sensors (Basel, Switzerland) · 2023Article
- Predictive Maintenance of Pins in the ECD Equipment for Cu Deposition in the Semiconductor Industry.Sensors (Basel, Switzerland) · 2023Article
- Trends in Robotics Research in Occupational Safety and Health: A Scientometric Analysis and Review.International journal of environmental research and public health · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
With the arrival of new technologies in modern smart factories, automated predictive maintenance is also related to production robotisation. Intelligent sensors make it possible to obtain an ever-increasing amount of data, which must be analysed efficiently and effectively to support increasingly complex systems' decision-making and management. The paper aims to review the current literature concerning predictive maintenance and intelligent sensors in smart factories. We focused on contemporary trends to provide an overview of future research challenges and classification. The paper used burst analysis, systematic review methodology, co-occurrence analysis of keywords, and cluster analysis. The results show the increasing number of papers related to key researched concepts. The importance of predictive maintenance is growing over time in relation to Industry 4.0 technologies. We proposed Smart and Intelligent Predictive Maintenance (SIPM) based on the full-text analysis of relevant papers. The paper's main contribution is the summary and overview of current trends in intelligent sensors used for predictive maintenance in smart factories.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.