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Early fault detection tools [chapter]

Gerard J. Holzmann
1996 Lecture Notes in Computer Science  
Such early fault detection tools differ from standard formal verification techniques in the sense that they must be able to deal with incomplete, informal design specifications, with possibly ill-defined  ...  It is well understood, though, that those bugs that slip through the early design phases tend to cause the most damage to a design.  ...  The development of the early fault detection tools is a collaborative effort to which all the above have made critical contributions.  ... 
doi:10.1007/3-540-61042-1_34 fatcat:6h3kb2exsbbmzenb6rqqnnwjhm

Intelligent alarm management

Carlos Agudelo, Francisco Morant Anglada, Eduardo Quiles Cucarella, Emilio Garcia Moreno
2011 IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE  
We present a methodology and an intelligent software tool to manage alarms and make early fault detection and diagnosis in industrial processes, integrating three techniques to detect and diagnose faults  ...  model used to detect disturbances in the process.  ...  The use of advanced software tools to aid the operations personnel in early fault detection and diagnosis tasks was supported.  ... 
doi:10.1109/larc.2011.6086852 dblp:conf/larc/AgudeloACM11 fatcat:np5uf4bcr5b3jaivnabxdcrbeu

Integration of techniques for early fault detection and diagnosis for improving process safety: Application to a Fluid Catalytic Cracking refinery process

Carlos Agudelo, Francisco Morant Anglada, Eduardo Quiles Cucarella, Emilio García Moreno
2013 Journal of Loss Prevention in the Process Industries  
In this paper we show the integration of techniques for early fault detection and diagnosis of operational faults in industrial processes, and we show an application example in a Fluid Catalytic Cracking  ...  The early fault detection and diagnosis allow the operators in an industrial process to take the best actions during the real state of the process, avoiding incipient faults to scale to critical situations  ...  Conclusions This article supports the use of advanced software tools to help early fault detection and diagnosis. It shows how early fault detection and diagnosis aid the process safety.  ... 
doi:10.1016/j.jlp.2013.01.002 fatcat:syvbmgjdjrf2ja2lzevrkim4zy

Online algorithm for early stage fault detection in IGBT switches

Jason M. Anderson, Robert W. Cox, Paul O'Connor
2013 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)  
Strangas 99 RS4 Rotor Faults (II) TOP ^ Early Broken Rotor Bar Detection Techniques in VSD-fed Induction Motors at Steady-state R. J. Romero-Troncoso, D. Morinigo-Sotelo, O. Duque-Perez, P. E.  ...  O. da Silva 566 Early Detection of Unbalance Voltage in Three Phase Induction Motor Based on SVM D. R. Sawitri, D. A. Asfani, M. H. Purnomo, I. K. E. Purnama, M.  ... 
doi:10.1109/demped.2013.6645689 fatcat:jscqo3ymvbhypfqq5kvnpteq4y

Evaluating the cost reduction of static code analysis for software security

Dejan Baca, Bengt Carlsson, Lars Lundberg
2008 Proceedings of the third ACM SIGPLAN workshop on Programming languages and analysis for security - PLAS '08  
The tool also had a 30% success rate in detecting known vulnerabilities and at the same time found 59 new vulnerabilities in the three examined products.  ...  Automated static code analysis is an efficient technique to increase the quality of software during early development.  ...  Automatic static analysis has been an area of early fault detection research for many years and has more recently been added to security engineering processes as an early tool for detecting vulnerabilities  ... 
doi:10.1145/1375696.1375707 dblp:conf/pldi/BacaCL08 fatcat:2fgh4fw4tjhkpbc3sawvanqegi

An integrated methodology for fault detection, root cause diagnosis, and propagation pathway analysis in chemical process systems

Md. Tanjin Amin
2021 Cleaner Engineering and Technology  
The methodology is developed combining the early fault detection capacity of the multivariate exponentially weighted moving average principal component analysis (MEMWA-PCA) and robust diagnosis and causality  ...  A B S T R A C T Although the current research on fault detection and diagnosis (FDD) has made significant developments, there exists some challenges such as earlier fault detection with lower false alarms  ...  IDV 4 is a fault that has been difficult to detect early due to data overlapping, as described by (Zhang and Dong, 2014) .  ... 
doi:10.1016/j.clet.2021.100187 fatcat:aeyygnoflbhrddlpqaytfoohoe

The Effectiveness of Automated Static Analysis Tools for Fault Detection and Refactoring Prediction

Fadi Wedyan, Dalal Alrmuny, James M. Bieman
2009 2009 International Conference on Software Testing Verification and Validation  
The results show that fewer than 3% of the detected faults correspond to the coding concerns reported by the ASA tools.  ...  Many automated static analysis (ASA) tools have been developed in recent years for detecting software anomalies.  ...  Also, we plan to identify the types of faults that ASA tools can detect more successfully.  ... 
doi:10.1109/icst.2009.21 dblp:conf/icst/WedyanAB09 fatcat:wymfimq6bngi3haaw7jx7ll6gm

Persistent Fault Analysis of OCB, DEOXYS and COLM

Michael Gruber, Matthias Probst, Michael Tempelmeier
2019 2019 Workshop on Fault Diagnosis and Tolerance in Cryptography (FDTC)  
, e.g., for bootloaders -detection countermeasures, e.g., control flow integrity -HW/SW co-design countermeasures for CPU architectures • Design tools for analysis of fault attacks and countermeasures:  ...  -early estimation of fault attack robustness -automatic applications of fault countermeasures Instructions for authors Submissions must not substantially duplicate work that any of the authors have published  ...  , e.g., for bootloaders -detection countermeasures, e.g., control flow integrity -HW/SW co-design countermeasures for CPU architectures • Design tools for analysis of fault attacks and countermeasures:  ... 
doi:10.1109/fdtc.2019.00011 dblp:conf/fdtc/GruberPT19 fatcat:fasoz5accbc3jgxob4mbfgnzsq

Practical Investigation on Bearing Fault Diagnosis Using Massive Vibration Data and Artificial Neural Network [chapter]

Tarek Khoualdia, Abdelaziz Lakehal, Zoubir Chelli
2019 Lecture Notes in Networks and Systems  
Bearing faults are one of the most probable causes for machine vibration. Early detections on bearing faults can save invaluable time and cost.  ...  In practice, vibration analysis is one of the techniques of condition-based maintenance that allows early detection and reliable diagnosis of bearing faults.  ...  For bearings and other machine elements there are conditionbased maintenance techniques that allow early detection of faults.  ... 
doi:10.1007/978-3-030-23672-4_9 fatcat:a2v6pbzf3bcrjgawlxju4lbema

Early fault detection based on empirical mode decomposition method

Akash Patel, Piyush Shakya
2020 Procedia CIRP  
Based on the results obtained, this method has proven to work better for early fault detection.  ...  Based on the results obtained, this method has proven to work better for early fault detection. Abstract Vibration signal analysis is a widely used condition monitoring technique.  ...  Same principle is applicable for the early fault detection. The Energy-entropy ratio is computed as a parameter for early fault detection.  ... 
doi:10.1016/j.procir.2020.05.006 fatcat:mg354xpvmnckjl7vqsumn6li2y

Decision support for distribution automation: data analytics for automated fault diagnosis and prognosis

Xiaoyu Wang, Stephen Mcarthur, Scott Strachan, Bruce Paisley
2017 CIRED - Open Access Proceedings Journal  
However, in this process the PMAR also captures current and voltage measurements that can be analysed to inform any subsequent fault diagnosis, and potentially detect the early onset of circuit degradation  ...  The primary function of the NOJA Pole-Mounted Auto-Recloser (PMAR) is to isolate distribution circuits from detected faults, while attempting to minimise outages due to transient faults.  ...  It is divided into the diagnosis of PMAR device fault, detection of the semi-permanent fault diagnosis and 'early warning' or prediction of degrading PMAR or circuit conditions.  ... 
doi:10.1049/oap-cired.2017.0262 fatcat:ibpowz67vrcnxcxnpn5tfskydu

Leveraging Similarities and Defect Analysis Feedback in Migration Programs: FSP Approach

Veerendra K. Rai, Sanjit Mehta, G. Ramanand
2013 Procedia - Social and Behavioral Sciences  
The paper argues that there are substantial similarities in large migration programs and these could be exploited to expedite the causal analysis to reduce the time taken in inspection and fault detection  ...  Gains made by FSP approach in reducing the work with undetected faults and fault prevention are substantial.  ...  Productivity increases through: Reduction of faults and Early detection of faults.  ... 
doi:10.1016/j.sbspro.2013.03.046 fatcat:lz7bnhtztzfcvnucvmibdafdim

Machine learning based multi class fault diagnosis tool for voltage source inverter driven induction motor

Jyothi R, Tejas Holla, Uma Rao K, Jayapal R
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
An early detection of these faults is required to prevent their escalation into major faults. The diagnostic tool for detection of faults requires real time monitoring of the entire drive.  ...  A diagnostic tool also is developed to display the severity and location of the fault to the operator to take corrective measures.  ...  These faults are not easily predictable, as the induction motor often continues to run. They may lead to catastrophic effects. Hence, an early detection is necessary.  ... 
doi:10.11591/ijpeds.v12.i2.pp1205-1215 fatcat:35jr4cifcbgqjnlcvp2w4t3g5q

Static Analysis and Code Complexity Metrics as Early Indicators of Software Defects

Safa Omri, Pascal Montag, Carsten Sinz
2018 Journal of Software Engineering and Applications  
This article presents an exploratory study investigating whether the faults detected by static analysis tools combined with code complexity metrics can be used as software quality indicators and to build  ...  pre-release fault prediction models.  ...  Static Analysis In this work, we used the faults detected by static analysis tools to predict the pre-release fault density.  ... 
doi:10.4236/jsea.2018.114010 fatcat:klw2xazgsfb5lfmgr5wxbny5hq

Survey on Test Case Prioritization and Measuring Test Cases Using APFD

Han Moi Sim
2015 Asia-pacific Journal of Convergent Research Interchange  
Test case prioritization is to prioritize test cases so that running of test cases in prioritized order improves certain measures like rate of fault detection.  ...  Various research papers related to test case prioritization, especially on APFD (Average Percentage of Faults Detected) will be downloaded, studied and reviews of the papers will be prepared.  ...  The best order is the order which gives early detection of faults.  ... 
doi:10.21742/apjcri.2015.06.02 fatcat:cj2yxmsamneethfssuxzr4mfki
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