Relevant bibliographies by topics / Fault detection and prediction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fault detection and prediction'

Author: Grafiati
Published: 26 June 2021
Last updated: 29 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Fault detection and prediction.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Fault detection and prediction"

1

Basnet, Barun, Hyunjun Chun, and Junho Bang. "An Intelligent Fault Detection Model for Fault Detection in Photovoltaic Systems." Journal of Sensors 2020 (June 9, 2020): 1–11. http://dx.doi.org/10.1155/2020/6960328.

Full text
Abstract:
Effective fault diagnosis in a PV system requires understanding the behavior of the current/voltage (I/V) parameters in different environmental conditions. Especially during the winter season, I/V characters of certain faulty states in a PV system closely resemble that of a normal state. Therefore, a normal fault detection model can falsely predict a well-operating PV system as a faulty state and vice versa. In this paper, an intelligent fault diagnosis model is proposed for the fault detection and classification in PV systems. For the experimental verification, various fault state and normal
APA, Harvard, Vancouver, ISO, and other styles
2

Rizvi, Mohammed. "Leveraging Deep Learning Algorithms for Predicting Power Outages and Detecting Faults: A Review." Advances in Research 24, no. 5 (2023): 80–88. http://dx.doi.org/10.9734/air/2023/v24i5961.

Full text
Abstract:
Power outage prediction and fault detection play crucial roles in ensuring the reliability and stability of electrical power systems. Traditional methods for predicting power outages and detecting faults rely on rule-based approaches and statistical analysis, which often fall short of accurately capturing the complex patterns and dynamics of power systems. Deep learning algorithms, with their ability to learn automatically representations from large amounts of data, have emerged as promising solutions for addressing these challenges. In this literature review, we present an overview of deep le
APA, Harvard, Vancouver, ISO, and other styles
3

S, Swetha, and Dr S. Venkatesh kumar. "Fault Detection and Prediction in Cloud Computing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 878–80. http://dx.doi.org/10.31142/ijtsrd18647.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wasi, Ullah. "Multiple Fault Detection and Isolation in Target Tracking Using Liner Prediction Techniques." International Journal of Engineering Works (ISSN:2409-2770) 3, no. 11 (2017): 83–86. https://doi.org/10.5281/zenodo.247110.

Full text
Abstract:
This paper proposes schemes for fault detection and isolation in a multi-fault setting. Now-a-days, sensor fault and failure are important issue in various wireless sensor networks. This works suggests a few algorithms based on simple phenomenon of data fusion. Initially, a mutual consensus has been developed among followers (e.g. UAVs in this case) who are tracking the same target. Having known the followers relative positions w.r.t. target, a median is computed by each follower. This median is then shared with neighbours to compare with their estimated values about the target position. If es
APA, Harvard, Vancouver, ISO, and other styles
5

Yang, Hyunsik, and Younghan Kim. "Design and Implementation of Machine Learning-Based Fault Prediction System in Cloud Infrastructure." Electronics 11, no. 22 (2022): 3765. http://dx.doi.org/10.3390/electronics11223765.

Full text
Abstract:
The method for ensuring availability in an existing cloud environment is primarily a metric-based fault detection method. However, the existing fault detection method makes it difficult to configure the environment as the cloud size increases and becomes more complex, and it is necessary to accurately understand the metric in order to use the metric accurately. Furthermore, additional changes are required whenever the monitoring environment changes. In order to solve these problems, various fault detection and prediction methods based on machine learning have recently been proposed. The machin
APA, Harvard, Vancouver, ISO, and other styles
6

Zeng, Aiping, Lei Yan, Yaping Huang, Enming Ren, Tao Liu, and Hui Zhang. "Intelligent Detection of Small Faults Using a Support Vector Machine." Energies 14, no. 19 (2021): 6242. http://dx.doi.org/10.3390/en14196242.

Full text
Abstract:
The small fault with a vertical displacement (or drop) of 2–5 m has now become an important factor affecting the production efficiency and safety of coal mines. When the 3D seismic data contain noise, it is easy to cause large errors in the prediction results of small faults. This paper proposes an intelligent small fault identification method combining variable mode decomposition (VMD) and a support vector machine (SVM). A fault forward model is established to analyze the response characteristics of different seismic attributes under the condition of random noise. The results show that VMD ca
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Shizhuang, Xingqun Zhan, Yawei Zhai, and Baoyu Liu. "Fault Detection and Exclusion for Tightly Coupled GNSS/INS System Considering Fault in State Prediction." Sensors 20, no. 3 (2020): 590. http://dx.doi.org/10.3390/s20030590.

Full text
Abstract:
To ensure navigation integrity for safety-critical applications, this paper proposes an efficient Fault Detection and Exclusion (FDE) scheme for tightly coupled navigation system of Global Navigation Satellite Systems (GNSS) and Inertial Navigation System (INS). Special emphasis is placed on the potential faults in the Kalman Filter state prediction step (defined as “filter fault”), which could be caused by the undetected faults occurring previously or the Inertial Measurement Unit (IMU) failures. The integration model is derived first to capture the features and impacts of GNSS faults and fil
APA, Harvard, Vancouver, ISO, and other styles
8

Kabir Chakraborty, Sanchari De, Tamanna Saha, and Purnima Nama. "Fault location prediction under line-to-ground fault in transmission line using artificial neural network." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 857–66. https://doi.org/10.30574/wjaets.2025.15.2.0552.

Full text
Abstract:
The electrical power system occasionally suffers from failures, often caused by the faults occurring within the system. Accurate fault location prediction is important to ensure the reliable operation of the power system and to minimize the downtime during the occurrence of fault conditions. While traditional methods of fault location detection remain effective for specific scenarios, Artificial Neural Network (ANN) provide a more versatile, efficient, and cost-effective approach to fault location detection. This study focuses on predicting fault positions under line-to-ground (L-G) fault usin
APA, Harvard, Vancouver, ISO, and other styles
9

Laxmi, Dewangan*1 &. Prof. Anish Lazrus2. "A REVIEW ON SOFTWARE PRONE DETECTION AND ITS PREVENTION TECHNIQUES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 1 (2018): 598–603. https://doi.org/10.5281/zenodo.1161695.

Full text
Abstract:
The need of distributed and complex business applications in big business requests error free and quality application frameworks. This makes it critical in programming improvement to create quality and fault free programming. It is likewise critical to outline dependable and simple to keep up as it includes a great deal of human endeavors, cost and time amid programming life cycle. A software advancement process performs different exercises to limit the faults, for example, fault prediction, defect localization, prevention and amendment. This paper shows a study on current practices for progra
APA, Harvard, Vancouver, ISO, and other styles
10

Biddle, Liam, and Saber Fallah. "A Novel Fault Detection, Identification and Prediction Approach for Autonomous Vehicle Controllers Using SVM." Automotive Innovation 4, no. 3 (2021): 301–14. http://dx.doi.org/10.1007/s42154-021-00138-0.

Full text
Abstract:
AbstractFaults that develop in vehicle sensors have the potential to propagate unchecked throughout control systems if undetected. Automatic fault diagnosis and health monitoring algorithms will become necessary as automotive applications become more autonomous. The current fault diagnosis systems are not effective for complex systems such as autonomous cars where the case of simultaneous faults in different sensors is highly possible. Therefore, this paper proposes a novel fault detection, isolation and identification architecture for multi-fault in multi-sensor systems with an efficient comp
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Fault detection and prediction"

1

Halligan, Gary. "Fault detection and prediction with application to rotating machinery." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Halligan_09007dcc80708356.pdf.

Full text
Abstract:
Thesis (M.S.)--Missouri University of Science and Technology, 2009.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed November 25, 2009) Includes bibliographical references.
APA, Harvard, Vancouver, ISO, and other styles
2

MILAZZO, Fabrizio. "FAULT DETECTION AND DATA PREDICTION FOR WIRELESS SENSOR NETWORKS." Doctoral thesis, Università degli Studi di Palermo, 2014. http://hdl.handle.net/10447/91031.

Full text
Abstract:
In the last few years, Wireless Sensor Networks (WSNs) have been extensively used as a pervasive sensing module of Ambient Intelligence (AmI) systems in several application fields, thanks to their versatility and ability to monitor diverse environmental quantities. Although wireless sensor nodes are able to perform onboard computations and to share the sensed data, they are limited by the scarcity of energy resources which heavily influences the network lifetime; moreover, the design phase of a WSN requires testing the application scalability prior to actual deployment. In this regard, this
APA, Harvard, Vancouver, ISO, and other styles
3

Walden, Love. "Fault prediction in information systems." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254670.

Full text
Abstract:
Fault detection is a key component to minimizing service unavailability. Fault detection is generally handled by a monitoring system. This project investigates the possibility of extending an existing monitoring system to alert based on anomalous patterns in time series.The project was broken up into two areas. The first area conducted an investigation whether it is possible to alert based on anomalous patterns in time series. A hypothesis was formed as follows; forecasting models cannot be used to detect anomalous patterns in time series. The investigation used case studies to disprove the hy
APA, Harvard, Vancouver, ISO, and other styles
4

Sundberg, Jesper. "Anomaly Detection in Diagnostics Data with Natural Fluctuations." Thesis, KTH, Optimeringslära och systemteori, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170237.

Full text
Abstract:
In this thesis, the red hot topic anomaly detection is studied, which is a subtopic in machine learning. The company, Procera Networks, supports several broadband companies with IT-solutions and would like to detected errors in these systems automatically. This thesis investigates and devises methods and algorithms for detecting interesting events in diagnostics data. Events of interest include: short-term deviations (a deviating point), long-term deviations (a distinct trend) and other unexpected deviations. Three models are analyzed, namely Linear Predictive Coding, Sparse Linear Prediction
APA, Harvard, Vancouver, ISO, and other styles
5

Ingham, James. "A domain-specific language based approach to component composition, error-detection, and fault prediction." Thesis, Durham University, 2001. http://etheses.dur.ac.uk/3954/.

Full text
Abstract:
Current methods of software production are resource-intensive and often require a number of highly skilled professionals. To develop a well-designed and effectively implemented system requires a large investment of resources, often numbering into millions of pounds. The time required may also prove to be prohibitive. However, many parts of the new systems being currently developed already exist, either in the form of whole or parts of existing systems. It is therefore attractive to reuseexisting code when developing new software, in order to reduce the time andresources required. This thesis p
APA, Harvard, Vancouver, ISO, and other styles
6

Williams, Darren Thomas. "Dynamic modelling of a linear friction welding machine actuation system for fault detection and prediction." Thesis, University of Bath, 2013. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604889.

Full text
Abstract:
Linear Friction Welding (LFW) is a relatively new process adopted by aircraft engine manufacturers utilising new technologies to produce better value components. With increasing fuel prices and economical drives for reducing CO2 emissions, LFW has been a key technology in recent years for aircraft engine manufacture in both commercial and military market sectors. For joining Blades to Discs (‘Blisks’), LFW is the ideal process as it is a solid state process which gives reproducibility and high quality bonds therefore improving performance. The welding process is also more cost effective than m
APA, Harvard, Vancouver, ISO, and other styles
7

Bergentz, Tobias. "Identifying symptoms of fault in District Heating Substations : An investigation in how a predictive heat load software can help with fault detection." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-174442.

Full text
Abstract:
District heating delivers more than 70% of the energy used for heating and domestichot water in Swedish buildings. To stay competitive, district heating needs toreduce its losses and increase capabilities to utilise low grade heat. Finding faultysubstations is one way to allow reductions in supply temperatures in district heatingnetworks, which in turn can help reduce the losses. In this work three suggestedsymptoms of faults: abnormal quantization, drifting and anomalous values, are investigatedwith the help of hourly meter data of: heat load, volume flow, supplyand return temperatures from d
APA, Harvard, Vancouver, ISO, and other styles
8

Piretti, Andrea. "Fault Detection in Industry 4.0 with Deep Learning Approaches." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22368/.

Full text
Abstract:
Con il costante aumento dell'utilizzo di macchinari automatici in ambito industriale, nasce la ricerca della creazione di sistemi in grado garantire ottime prestazioni e tolleranza ai comportamenti anomali di essi. L'obbiettivo di questa tesi è la realizzazione di modelli di Machine Learning in grado di svolgere operazioni di Anomaly Detection per la classificazione di comportamenti sbagliati da parte di questo tipo di macchinari mediante l'utilizzo di un AutoEncoder con un approccio di Semi-Supervised learning. Attraverso i risultati di questi modelli sarà poi possibile svolgere un'ampia a
APA, Harvard, Vancouver, ISO, and other styles
9

Mohamed, Ahmed. "Fault-detection in Ambient Intelligence based on the modeling of physical effects." Phd thesis, Supélec, 2013. http://tel.archives-ouvertes.fr/tel-00995066.

Full text
Abstract:
This thesis takes place in the field of Ambient Intelligence (AmI). AmI Systems are interactive systems composed of many heterogeneous components. From a hardware perspective these components can be divided into two main classes: sensors, using which the system observes its surroundings, and actuators, through which the system acts upon its surroundings in order to execute specific tasks.From a functional point of view, the goal of AmI Systems is to activate some actuators, based on data provided by some sensors. However, sensors and actuators may suffer failures. Our motivation in this thesis
APA, Harvard, Vancouver, ISO, and other styles
10

Simmini, Francesco. "Energy Efficient Control and Fault Detection for HVAC Systems." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3424067.

Full text
Abstract:
The interest in HVAC (Heating, Ventilation and Air-Conditioning) technology has rapidly increased in the last years. HVAC systems have become important in the design of medium-large buildings in order to ensure thermal comfort in the environments with respect to the temperature and humidity of the air. Control, optimisation and maintenance procedures are fundamental in HVAC systems in order to guarantee people comfort and energy efficient solutions in their management. Two different topics are covered in this thesis. Energy Efficient Control of Ice Thermal Energy Storage Systems HVAC p
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Fault detection and prediction"

1

Zhou, Chengke. Novel approaches to alternator transient response prediction and rotor interturn fault detection. University of Manchester, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Pakanen, Jouko. Prediction and fault detection of building energy consumption using multi-input, single-output dynamic model. Technical Research Centre of Finland, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sohlberg, Björn. Supervision and Control for Industrial Processes: Using Grey Box Models, Predictive Control and Fault Detection Methods. Springer London, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kumar, Sandeep, and Santosh Singh Rathore. Software Fault Prediction. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8715-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Meskin, Nader, and Khashayar Khorasani. Fault Detection and Isolation. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8393-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

G, Karpovsky Mark, and International Workshop on Spectral Techniques and Fault Detection (1983 : Boston, Mass.), eds. Spectral techniques and fault detection. Academic Press, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Li, Linlin. Fault Detection and Fault-Tolerant Control for Nonlinear Systems. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-13020-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Alwi, Halim, Christopher Edwards, and Chee Pin Tan. Fault Detection and Fault-Tolerant Control Using Sliding Modes. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-650-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Alwi, Halim. Fault Detection and Fault-Tolerant Control Using Sliding Modes. Springer-Verlag London Limited, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Thambidurai, P., and T. N. Singh, eds. Landslides: Detection, Prediction and Monitoring. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Fault detection and prediction"

1

Zhang, Yong, Zidong Wang, and Ye Yuan. "Fault Detection of Networked Multi-rate Systems with Filter-Based Methods." In Filter-Based Fault Diagnosis and Remaining Useful Life Prediction. CRC Press, 2023. http://dx.doi.org/10.1201/9781003330998-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mafla-Yépez, Carlos, Cristina Castejon-Sisamon, and Higinio Rubio-Alonso. "Vibration Analysis in Agricultural Vehicles for Fault Detection." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_11.

Full text
Abstract:
AbstractFailure analysis of farm tractor’s engines and internal combustion engines is done using vibration analysis due to its efficiency and because it is not invasive to the engine operation. In this work, engine failures are studied based on failures of the injectors opening pressure. The vibration data was obtained by a sensor located in the cylinder block close to the compression chamber. The Fast Fourier Transform (FFT) was applied to obtain characteristics in each engine operating status (injector failures). With the statistical analysis, the characteristics are selected for the classif
APA, Harvard, Vancouver, ISO, and other styles
3

Andonovski, Goran, Sašo Blažič, and Igor Škrjanc. "Evolving Fuzzy Model for Fault Detection and Fault Identification of Dynamic Processes." In Predictive Maintenance in Dynamic Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05645-2_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Efatinasab, Emad, Francesco Marchiori, Alessandro Brighente, Mirco Rampazzo, and Mauro Conti. "FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids." In Detection of Intrusions and Malware, and Vulnerability Assessment. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64171-8_26.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Piccoli, L. B., R. V. B. Henriques, E. Fabres, E. L. Schneider, and C. E. Pereira. "Embedded Systems Solutions for Fault Detection and Prediction in Electrical Valves." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06966-1_44.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Mesquita, Acélio L., Vandilberto P. Pinto, and Leonardo R. Rodrigues. "Detection and Fault Prediction in Electrolytic Capacitors Using Artificial Neural Networks." In Communications in Computer and Information Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71503-8_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Mahfouf, Mahdi, and Derek A. Linkens. "Supervisory Generalised Predictive Control and Fault Detection for Multivariable Anaesthesia." In Generalized Predictive Control And Bioengineering. CRC Press, 2024. http://dx.doi.org/10.1201/9781003572824-10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Rodríguez, Fabio, William D. Chicaiza, Adolfo J. Sánchez, and Juan Manuel Escaño. "Neural Networks Techniques for Fault Detection and Offset Prediction on Wind Turbines Sensors." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-18050-7_52.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Srivastava, Ashish Kumar, Alok Kumar Gupta, and Shailendra Prasad Sharma. "Fault detection and maintenance prediction for an industrial gearbox using machine learning approaches." In Emerging Trends in IoT and Computing Technologies. Routledge, 2023. http://dx.doi.org/10.1201/9781003350057-41.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hairech, Oumaima El, and Abdelouahid Lyhyaoui. "Fault Detection and Diagnosis in Condition-Based Predictive Maintenance." In International Conference on Advanced Intelligent Systems for Sustainable Development. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35251-5_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Fault detection and prediction"

1

Juliet, A. Hency. "AI-Driven Predictive Maintenance for Industrial IoT with Real-Time Fault Detection and Prediction." In 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech). IEEE, 2025. https://doi.org/10.1109/iementech65115.2025.10959502.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Hossain, Md Farhad, Kashem M. Muttaqi, and Danny Sutanto. "Fault Detection Prediction to Prevent Voltage Collapse in Large Power Systems." In 2025 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2025. https://doi.org/10.1109/ias62731.2025.11061491.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Usha, S. M., D. Mahesh Kumar, M. Kavitha, et al. "Intelligent Fault Detection and Prediction in Smart Grids Using Supervised Learning Model." In 2024 International Conference on Recent Advances in Science and Engineering Technology (ICRASET). IEEE, 2024. https://doi.org/10.1109/icraset63057.2024.10895864.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

DePold, Hans R., Ravi Rajamani, William H. Morrison, and Krishna R. Pattipati. "A Unified Metric for Fault Detection and Isolation in Engines." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-91095.

Full text
Abstract:
In this paper we make two key contributions. First, we formalize the effectiveness of fault detection and isolation (FDI) with a metric that globally considers the following: variance in engine parameter estimate residuals under normal conditions, costs of missed detections and false alarms, costs associated with misclassification of faults, fault frequencies and fault severities. Reducing the error variance increases the signal-to-noise ratio, thereby increasing the reliability and speed of fault-detection algorithms. Minimizing missed detections has enormous implications on operational safet
APA, Harvard, Vancouver, ISO, and other styles
5

Papakonstantinou, Nikolaos, Scott Proper, Douglas L. Van Bossuyt, Bryan O’Halloran, and Irem Y. Tumer. "A Functional Modelling Based Methodology for Testing the Predictions of Fault Detection and Identification Systems." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59916.

Full text
Abstract:
Fault detection and identification (FDI) systems, which are based on data mining and artificial intelligence techniques, cannot guarantee a perfect success rate or provide analytical proof for their predictions. This characteristic is problematic when such an FDI system is monitoring a safety-critical process. In these cases, the predictions of the FDI system need to be verified by other means, such as tests on the process, to increase trust in the diagnosis. This paper contributes an extension of the Hierarchical Functional Fault Detection and Identification (HFFDI) system, a combination of a
APA, Harvard, Vancouver, ISO, and other styles
6

Ivan, Heidi Lynn, and Jean-Paul André Ivan. "Banks of Gaussian Process Sensor Models for Fault Detection in Wastewater Treatment Processes." In 64th International Conference of Scandinavian Simulation Society, SIMS 2023 Västerås, Sweden, September 25-28, 2023. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp200038.

Full text
Abstract:
The harsh operating environment in a wastewater treatment process (WWTP) makes sensor faults commonplace. Detecting these faults can be challenging due to the complex process dynamics, unknown inputs, and general noise in the process and measurements. Comparing sensor readings against predictions from a physics-based or data-driven model of the WWTP is a common strategy for detecting such faults. In this work sensor measurements are directly modelled using Gaussian process (GP) regression, a data-driven multivariate approach. These GP sensor models are, with a generalised product of experts, c
APA, Harvard, Vancouver, ISO, and other styles
7

Li, Mengyan, Junshan Li, Shuangshuang Li, Wenqing Wang, and Fen Li. "TWT transmitter fault prediction based on ANFIS." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, et al. SPIE, 2017. http://dx.doi.org/10.1117/12.2296313.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Khan, Muhammad, Andy Anderson Bery, Syed Sadaqat Ali, and Saleh Aldossary. "Transfer Learning: A Key Approach to Fault Prediction and Extraction in Deep Learning." In International Geomechanics Conference. ARMA, 2024. https://doi.org/10.56952/igs-2024-0423.

Full text
Abstract:
ABSTRACT: Faults are key subsurface features that significantly influence geomechanics, affecting stress fields and playing a crucial role in hydrocarbon exploration, production, and CO2 storage. The redistribution of stress around faults depends on factors like fault size, orientation, and the mechanical properties of surrounding rocks. Seismic data is commonly used to interpret faults, but the process can be labor-intensive and subjective. Structural attributes such as variance, curvature, fault likelihood, and ant-tracking have improved fault detection, but still require substantial manual
APA, Harvard, Vancouver, ISO, and other styles
9

Ranjith, Megala, Nagarajan Palaniappan, Yathavaraj Viswanathan, and Jency Rubia. "A survey on fault prediction and fault detection." In INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INNOVATIVE TECHNOLOGIES IN AGRICULTURE”. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0172271.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Shah, Dhruv, and Avinash Aslekar. "IoT in Fault Detection and Prediction." In 2022 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2022. http://dx.doi.org/10.1109/dasa54658.2022.9764977.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Fault detection and prediction"

1

Ingle, Richard M., John H. Bordelon, Michael J. Willis, and C. D. Stokes. Analog Microcircuit Fault Prediction. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada281958.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Yinger, Robert, J., Venkata, S., S., and Virgilio Centeno. Fault Locating, Prediction and Protection (FLPPS). Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/989414.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sadegh, Mojtaba, Seyd Seydi, John Abatzoglou, Amir AghaKouchak, Mir Matin, and Kaveh Madani. January 2025 Los Angeles Wildfires: Once-in-a-Generation Events Now Happen Frequently. United Nations University Institute for Water, Environment and Health (UNU INWEH), 2025. https://doi.org/10.53328/inr25mos003.

Full text
Abstract:
1. On January 7, 2025, Palisades and Eaton fires started and burned through urban areas of Los Angeles County, California. They collectively destroyed nearly 16,250 structures, and directly exposed ~41,000 people, ranking them 2nd and 3rd most destructive wildfires in California’s history1. 2. Started during drought conditions coincident with the Santa Ana winds with wind gusts exceeding 100 miles per hour, the fires rapidly spread into densely populated urban areas, resulting in 29 fatalities and widespread population displacement. 3. The January 2025 Los Angeles wildfires underscore the incr
APA, Harvard, Vancouver, ISO, and other styles
4

Shabalina, A., A. Carpenter, M. Rahman, C. Tennant, and L. Vidyaratne. Machine Learning Based Cavity Fault Classification and Prediction. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1735851.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

King, Bruce Hardison, and Christian Birk Jones. Final Technical Report: PV Fault Detection Tool. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1233822.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

ORINCON CORP LA JOLLA CA. Conditioned Based Machinery Maintenance (Helicopter Fault Detection). Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada252822.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

ORINCON CORP LA JOLLA CA. Conditioned Based Machinery Maintenance (Helicopter Fault Detection). Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada255796.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Butzbaugh, Joshua, Abraham SD Tidwell, and Chrissi Antonopoulos. Automatic Fault Detection & Diagnostics: Residential Market Analysis. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1670423.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Heo, Jaehyeok, W. Vance Payne, Piotr A. Domanski, and Zhimin Du. Self-training of a fault-free model for residential air conditioner fault detection and diagnostics. National Institute of Standards and Technology, 2015. http://dx.doi.org/10.6028/nist.tn.1881.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Lavrova, Olga, Jack David Flicker, and Jay Johnson. PV Systems Reliability Final Technical Report: Ground Fault Detection. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1234818.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Fault detection and prediction' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography