scholarly journals Tour Planning Mechanism Using CLR Method to Achieve Reliability Control in WSN

2017 ◽  
Vol 6 (7) ◽  
pp. 666-668
Keyword(s):  
Tour Planning ◽  
Reliability Control

Metro Transit-Centric Visualization for City Tour Planning

2014 ◽  
Vol 33 (3) ◽  
pp. 271-280 ◽  
Author(s):  
Pio Claudio ◽  
Sung-Eui Yoon
Keyword(s):  
Tour Planning

Reliability Control of Complex Systems Through Penultimate Approximations

2013 ◽  
Vol 46 (9) ◽  
pp. 916-921
Author(s):  
Ivette Gomes ◽  
Paula Reis ◽  
Luísa Canto e Castro ◽  
Sandra Dias
Keyword(s):  
Complex Systems ◽  
Reliability Control

scholarly journals Predictive Trajectory-Based Mobile Data Gathering Scheme for Wireless Sensor Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Fan Chao ◽  
Zhiqin He ◽  
Renkuan Feng ◽  
Xiao Wang ◽  
Xiangping Chen ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Gathering ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cluster Center ◽  
Mobile Data ◽  
Tour Planning ◽  
Mobile Data Gathering

Tradition wireless sensor networks (WSNs) transmit data by single or multiple hops. However, some sensor nodes (SNs) close to a static base station forward data more frequently than others, which results in the problem of energy holes and makes networks fragile. One promising solution is to use a mobile node as a mobile sink (MS), which is especially useful in energy-constrained networks. In these applications, the tour planning of MS is a key to guarantee the network performance. In this paper, a novel strategy is proposed to reduce the latency of mobile data gathering in a WSN while the routing strategies and tour planning of MS are jointly optimized. First, the issue of network coverage is discussed before the appropriate number of clusters being calculated. A dynamic clustering scheme is then developed where a virtual cluster center is defined as the MS sojourn for data collection. Afterwards, a tour planning of MS based on prediction is proposed subject to minimizing the traveling distance to collect data. The proposed method is simulated in a MATLAB platform to show the overall performance of the developed system. Furthermore, the physical tests on a test rig are also carried out where a small WSN based on an unmanned aerial vehicle (UAV) is developed in our laboratory. The test results validate the feasibility and effectiveness of the method proposed.

System of identification and monitoring of technical state of land transport-processing machines

2021 ◽  
Vol 0 (5) ◽  
pp. 44-49
Author(s):  
V. A. Zorin ◽  
◽  
N. I. Baurova ◽  
P.V. Stepanov ◽  
M. M. Styskin ◽  
...  
Keyword(s):  
Proper Time ◽  
Technical State ◽  
Physical Models ◽  
Specific Class ◽  
Diagnostic Data ◽  
Technological Processes ◽  
Maintenance System ◽  
Intermediate States ◽  
Reliability Control ◽  
Proactive Maintenance

Formation problems of a system for identification, monitoring of the technical state and proactive maintenance of airfield land transport-processing machines by using diagnostic data are discussed. The main goal of development and implementation the proactive maintenance system is reliability control and operation safety of transport-processing machines. For the solution of this problem it is necessary to identify and prevent damages in proper time. It requires to assign the specific class of intermediate states named the pre- emergency state class. Logical and physical models describing changes in machine states, technological processes, geolocation, event visualization are discussed. The implementation results of the system of identification, monitoring of the technical state and remote proactive maintenance of airfield land transport-processing machines by using diagnostic data are presented.

Root cause identification approach using decomposition of QFD and extended RPN for product manufacturing reliability degradation

2021 ◽  
pp. 1748006X2110436
Author(s):  
Anqi Zhang ◽  
Yihai He ◽  
Chengcheng Wang ◽  
Jishan Zhang ◽  
Zixuan Zhang
Keyword(s):  
Quality Function Deployment ◽  
Degradation Mechanism ◽  
Product Reliability ◽  
Root Cause ◽  
Reliability Characteristics ◽  
Identification Technique ◽  
Reliability Control ◽  
Product Manufacturing ◽  
Identification Approach ◽  
Root Cause Identification

Reliability is reflected in product during manufacturing. However, due to uncontrollable factors during production, product reliability may degrade substantially after manufacturing. Thus, root cause analysis is important in identifying vulnerable parameters to prevent the product reliability degradation in manufacturing. Therefore, a novel root cause identification approach based on quality function deployment (QFD) and extended risk priority number (RPN) is proposed to prevent the degradation of product manufacturing reliability. First, the connotation of product manufacturing reliability and its degradation mechanism are expounded. Second, the associated tree of the root cause of product manufacturing reliability degradation is established using the waterfall decomposition of QFD. Third, the classic RPN is extended to focus on importance to reliability characteristics, probability, and un-detectability. Furthermore, fuzzy linguistic is adopted and the integrated RPN is calculated to determine the risk of root causes. Therefore, a risk-oriented root cause identification technique of product manufacturing reliability degradation is proposed using RPN. Finally, a root cause identification of an engine component is presented to verify the effectiveness of this method. Results show that the proposed approach can identify the root cause objectively and provide reference for reliability control during production.

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