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Particle-Filter-Based Fault Diagnosis for the Startup Process of an Open-Cycle Liquid-Propellant Rocket Engine

SENSORS 2024年第9期24卷 2798页

作者： Cha, Jihyoung Ko, Sangho Park, Soon-Young Cranfield Univ Ctr Aeronaut Cranfield MK43 0AL England Korea Aerosp Univ Dept Smart Air Mobil 76 Hanggongdaehang Ro Goyang Si 10540 South Korea Korea Aerosp Res Inst Rocket Engine Dept 69-84 Gwahak Ro Daejeon 34133 South Korea

This study introduces a fault diagnosis algorithm based on particle filtering for open-cycle liquid-propellant rocket engines (LPREs). The algorithm serves as a model-based method for the startup process, accounting for more than 30% of engine failures. Similar to the previous fault detection and diagnosis (FDD) algorithm for the startup process, the algorithm in this study is composed of a nonlinear filter to generate residuals, a residual analysis, and a multiple-model (MM) approach to detect and diagnose faults from the residuals. In contrast to the previous study, this study makes use of the modified cumulative sum (cusum) algorithm, widely used in change-detection monitoring, and a particle filter (PF), which is theoretically the most accurate nonlinear filter. The algorithm is confirmed numerically using the cusum and MM methods. Subsequently, the FDD algorithm is compared with an algorithm from a previous study using a Monte Carlo simulation. Through a comparative analysis of algorithmic performance, this study demonstrates that the current PF-based FDD algorithm outperforms the algorithm based on other nonlinear filters.

关键词： fault detection and diagnosis particle filter cusum algorithm multiple-model method liquid-propellant rocket engine startup process

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Change-point monitoring for the detection of DoS attacks

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IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING 2004年第4期1卷 193-208页

作者： Wang, HN Zhang, DL Shin, KG Coll William & Mary Dept Comp Sci Williamsburg VA 23187 USA Qualcomm inc Corp Res & Dev San Diego CA 92122 USA Univ Michigan Dept Elect Engn & Comp Sci Real Time Comp Lab Ann Arbor MI 48109 USA

This paper presents a simple and robust mechanism, called Change-Point Monitoring (CPM), to detect denial of service (DoS) attacks. The core of CPM is based on the inherent network protocol behaviors and is an instance of the Sequential Change Point Detection. To make the detection mechanism insensitive to sites and traffic patterns, a nonparametric Cumulative Sum (cusum) method is applied, thus making the detection mechanism robust, more generally applicable, and its deployment much easier. CPM does not require per-flow state information and only introduces a few variables to record the protocol behaviors., The statelessness and low computation overhead of CPM make itself immune to any flooding attacks. As a case study, the efficacy of CPM is evaluated by detecting a SYN flooding attack-the most common DoS attack. The evaluation results show that CPM has short detection latency and high detection accuracy.

关键词： cusum algorithm DoS attacks intrusion detection protocol behavior

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Quickest Line Outage Detection and Identification

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IEEE TRANSACTIONS ON POWER SYSTEMS 2016年第1期31卷 749-758页

作者： Chen, Yu Christine Banerjee, Taposh Dominguez-Garcia, Alejandro D. Veeravalli, Venugopal V. Univ British Columbia Dept Elect & Comp Engn Vancouver BC V5Z 1M9 Canada Univ Michigan Dept Elect & Comp Engn Ann Arbor MI 48109 USA Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA

A method is proposed to detect and identify power system transmission line outages in near real-time. The method exploits the statistical properties of the small random fluctuations in electricity generation and demand that a power system is subject to as time evolves. To detect and identify transmission line outages, a linearized incremental small-signal power system model is used in conjunction with high-speed synchronized voltage phase angle measurements obtained from phasor measurement units. By monitoring the statistical properties of voltage phase angle time-series, line outages are detected and identified using techniques borrowed from the theory of quickest change detection. As illustrated through case studies, the proposed method is effective in detecting and identifying single- and double-line outages in an accurate and timely fashion.

关键词： cusum algorithm line outage detection and identification phasor measurement units quickest change detection

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A particle filtering approach to change detection for nonlinear systems

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EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING 2004年第15期2004卷 2295-2305页

作者： Azimi-Sadjadi, B Krishnaprasad, PS Rensselaer Polytech Inst Dept Elect Comp & Syst Engn Troy NY 12180 USA Univ Maryland Syst Res Inst College Pk MD 20742 USA

We present a change detection method for nonlinear stochastic systems based on particle filtering. We assume that the parameters of the system before and after change are known. The statistic for this method is chosen in such a way that it can be calculated recursively while the computational complexity of the method remains constant with respect to time. We present simulation results that show the advantages of this method compared to linearization techniques.

关键词： nonlinear filtering generalized likelihood ratio test cusum algorithm online change detection

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algorithms for Change Detection With Sparse Signals

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2020年第0期68卷 1331-1345页

作者： Jain, Aditi Sarvepalli, Pradeep Bhashyam, Srikrishna Kannu, Arun Pachai Indian Inst Technol Madras Dept Elect Engn Chennai 600036 Tamil Nadu India

We consider the change detection problem where the pre-change observation vectors are purely noise and the post-change observation vectors are noise-corrupted compressive measurements of sparse signals with a common support, measured using a sensing matrix. In general, post-change probability density function (pdf) of the observations depends on parameters such as the support and variances of the sparse signal. When these parameters are unknown, we propose two approaches. In the first approach, we approximate the post-change pdf based on the known parameters such as mutual coherence of the sensing matrix and bounds on the signal variances. In the second approach, we parameterize the post-change pdf with an unknown parameter and try to estimate this parameter using two different methods, stochastic gradient descent and generalized likelihood ratio. In both these approaches, we employ the conventional cumulative sum (cusum) algorithm with various decision statistics such as the energy of the observations, correlation values with columns of the sensing matrix and the maximum value of such correlations. We analytically characterize the worst case detection delay and average run length to false alarm performance of pdf-approximation based approach. We also numerically study the performance and offer insights on the relevance of various decision statistics in different signal to noise ratio (SNR) regimes. We also address the problem of designing sensing matrices with small mutual coherence by using designs from quantum information theory. One such design using equi-angular lines has an additional structure which allows exact characterization of the post-change pdf of the correlation values, even when the support set of the sparse signal is unknown. We apply our detection algorithms with sensing matrix designed from equi-angular lines to a massive random access problem and show their superior performance over conventional Gold codes.

关键词： Sensors Sparse matrices Delays Change detection algorithms Probability density function Detection algorithms Correlation cusum algorithm detection delay average run length sensing matrix design mutual coherence quantum information theory

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Toward fast and accurate emergency cases detection in BSNs

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IET WIRELESS SENSOR SYSTEMS 2020年第1期10卷 47-60页

作者： Boudargham, Nadine El Sibai, Rayane Abdo, Jacques Bou Demerjian, Jacques Guyeux, Christophe Makhoul, Abdallah Notre Dame Univ Fac Engn Deir El Kamar Lebanon Al Maaref Univ Fac Engn Beirut Lebanon Notre Dame Univ Fac Nat & Appl Sci Deir El Kamar Lebanon Lebanese Univ Fac Sci LaRRIS Fanar Lebanon Univ Bourgogne Franche Comte Comp Sci Dept DISC Femto ST Inst UMR CNRS 6174 Besancon France

In body sensor networks (BSNs), medical sensors capture physiological data from the human body and send them to the coordinator who act as a gateway to health care. The main aim of BSNs is to save peoples' lives. Therefore, fast and correct detection of emergencies while maintaining low-energy consumption of sensors is essential requirement of BSNs. In this study, the authors propose a new adaptive data sampling approach, where the sampling ratio is adapted based on the sensed data variation. The idea is to use the modified version of the cumulative sum (cusum) algorithm (modified cusum) that they previously proposed for wireless sensor networks to monitor the data variability, and adapt the sampling rate accordingly. Modified cusum is then applied to the adaptively sampled data to detect anomalies, and the correlation property between physiological parameters will be used to identify emergency cases from false alarms. Several experiments are performed and compared to evaluate the efficiency of their approach, and different parameters are considered.

关键词： health care body sensor networks data variability sampling rate modified cusum accurate emergency cases detection BSNs body sensor networks medical sensors capture physiological data human body health care adaptive data sampling approach sampling ratio sensed data variation cusum algorithm wireless sensor networks

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A P2P-based Distributed Detection Scheme Against DDoS Attack

A P2P-based Distributed Detection Scheme Against DDoS Attack

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1st International Workshop on Education Technology and Computer Science

作者： Zhou, Zaihong Xie, Dongqing Xiong, Wei Hunan Univ Sch Comp & Commun Changsha 410082 Hunan Peoples R China Guangzhou Univ Sch Comp Sci & Educ Software Guangzhou Guangdong Peoples R China

ISBN: (纸本)9780769535579

The distributed hosts in the Internet are organized into a P2P network by Chord protocol for detection. The detection node uses the cusum's sensitivity to the slight change to detect the change in the amount of packets to destination address. Upon the abnormality detected, it is broadcast based on the node trust. The response nodes use space similarity algorithm to calculate the similarity between request node and response node. The victim end makes a comprehensive decision whether the DDoS attack happens. The scheme detects DDoS at the source end;it can prevent the DDoS attack by means of forged IP address and random IP address and trace the origin of the attack hosts. The experimental results indicate that our scheme has better performance than cusum and time similarity algorithm single deployed. It can reach as high as 96.1% detection rate and with only 6.9% false positives rate.

关键词： DDoS Attacks Distributed Detection cusum algorithm Similarity P2P

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Improved Boundary Tracking by Off-Boundary Detection

Improved Boundary Tracking by Off-Boundary Detection

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Conference on Image and Signal Processing for Remote Sensing XVIII

作者： Chen, Alex Univ N Carolina Chapel Hill NC 27515 USA

ISBN: (纸本)9780819492777

This work discusses an improvement to the boundary tracking algorithm introduced by Chen et al 2011. This method samples points in an image locally and utilizes the cusum algorithm to reduce tracking problems due to noise or texture. However, when tracking problems do arise, the local nature of the algorithm does not give any mechanism in which to recover. This work introduces a second cusum algorithm to detect off-boundary movement,compensating for such movement by back tracking. Boundary tracking results comparing the two algorithms are presented, including both image data and a numerical comparison of the effectiveness of the algorithms.

关键词： Hyperspectral Imaging Boundary Tracking Image Segmentation cusum algorithm Off-Boundary Detection

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A Wireless Sensor Network Approach for the control of a multizone HVAC system

A Wireless Sensor Network Approach for the control of a mult...

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International Conference on Power, Energy and Control (ICPEC)

作者： Sklavounos, Dimitris Zervas, Evangelos Tsakiridis, Odysseus Stonham, John Brunel Univ UK Dept Engn & Design Uxbridge UB8 3PH Middx England

ISBN: (纸本)9781467360302;9781467360272

Energy consumption has become a very important case due to the global energy issue. Therefore, there is an increasing demand for efficient energy control in Heat Ventilation and Air Conditioning (HVAC) Systems. An effective method for controlling the heat energy in a multiple room building is the multizone approach, where each room is treated as a single zone and temperature control is applied separately for each zone. In the proposed technique, the multizone approach is adopted along with a Wireless Sensor Network (WSN) of temperature nodes, where each node covers a single zone and communicates its sensed values to adjacent nodes. Each node is responsible for the tuning of a heating source so that a preset zone temperature value is maintained. Moreover, each node utilizes a simple lumped capacity model for its controlling zone and based on the received neighbor temperature values detects possible divergences from the anticipated energy consumption. Simulation results using a simple weather temperature model and Proportional Integral (PI) controllers verify the effectiveness of the proposed method.

关键词： Energy control HVAC WSN cusum algorithm

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Novel drainage pipeline breakages detection based on MEMS inertial sensor: From mechanism to application

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JOURNAL OF CLEANER PRODUCTION 2024年 473卷

作者： Xiao, Yunlong Meng, Jinheng Yan, Hexiang Wang, Jiaying Xin, Kunlun Tao, Tao Tongji Univ Coll Environm Sci & Engn Shanghai 200092 Peoples R China

Urban water environment pollution is a global concern, in developing countries, sewage infiltration resulting from urban drainage pipelines breakage is an essential element in the urban groundwater pollution and the recurrence of black odor water bodies, it is crucial to accurately and efficiently detection and localisation of urban drainage pipelines breakage to protect the urban water resources. In this paper, a device for detecting defects in drainage pipelines was developed and assembled using microelectromechanical systems (MEMS) inertial sensors as the core components, and the improved cumulative sum (cusum) model was used for anomalous detection of the pitch angle of the device's movement along the course of the pipeline as a method of detecting pipeline breakage. In the laboratory simulation of drainage pipeline tests, the cusum peaks (0.709, 1.102, 3.038, 7.990) for the case of external water infiltration rates into the pipeline at the point of pipe breakage (2.9%, 4.6%, 5.8%, 9.2%), and for the cases of sewer exfiltration rates in the pipeline of 4.2% and 6.4% (0.760, 1.382). CFD simulations of the water flow in the laboratory pipeline show a high degree of overlap between the trend of the water surface near the point of breakage and the anomalous fluctuations in the pitch angle of the device motion in the laboratory tests. Finally, the authors tested the device on municipal drains in the city of A. The results demonstrated the reliability and high accuracy of the device. The device enables to improve the ecological quality of urban water environment by accelerating the rate of defect detection in urban drainage pipelines and reducing the detection expenses.

关键词： Urban water environment Drainage pipelines Breakage detection MEMS inertial sensors cusum algorithm CFD

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