Challenges of Integrating Multidisciplinary Wayside Databases

2012 ◽  
Author(s):  
Carolyne Southern ◽  
Joseph Wong ◽  
Keith Bladon
Keyword(s):  
Decision Making ◽  
Condition Monitoring ◽  
Data Structures ◽  
Cross Correlation ◽  
Rolling Stock ◽  
Complex Task ◽  
Intelligent Algorithms

A single, integrated database to store inputs from multiple, and multidisciplinary wayside systems is a pre-requisite for cross-correlation of data, and the development of intelligent algorithms to determine alarm levels and automate decision making. Australian rail operators run on three track gauges, operate a mix of American, European and uniquely Australian rolling stock, and lack a unified set of interchange standards, making the development of operational and condition monitoring rules a complex task. Over the years, Wayside Equipment vendors have adopted different database architectures and data structures for their proprietary systems. Recognizing the need for an industry-wide standard, Pacific National and Track Owners in Australia have initiated a project to develop the architecture for an integrated, open database to capture and store data feeds from multiple wayside systems, from different suppliers. This paper describes the objectives, constraints, challenges and projected benefits of the project for the track owner and the rail operator, and the planned implementation of an integrated condition monitoring database in the Australian rail environment.

Multi-Zone Proportional Hazard Model for a Multi-Stage Degradation Process

2013 ◽  
Author(s):  
Lin Li ◽  
Zeyi Sun ◽  
Xinwei Xu ◽  
Kaifu Zhang
Keyword(s):  
Decision Making ◽  
Condition Monitoring ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Degradation Process ◽  
Remaining Useful Life ◽  
Monitoring Data ◽  
Status Change ◽  
Multi Stage ◽  
And Performance

Conditional-based maintenance (CBM) decision-making is of high interests in recent years due to its better performance on cost efficiency compared to other traditional policies. One of the most respected methods based on condition-monitoring data for maintenance decision-making is Proportional Hazards Model (PHM). It utilizes condition-monitoring data as covariates and identifies their effects on the lifetime of a component. Conventional modeling process of PHM only treats the degradation process as a whole lifecycle. In this paper, the PHM is advanced to describe a multi-zone degradation system considering the fact that the lifecycle of a machine can be divided into several different degradation stages. The methods to estimate reliability and performance prognostics are developed based on the proposed multi-zone PHM to predict the remaining time that the machine stays at the current stage before transferring into the next stage and the remaining useful life (RUL). The results illustrate that the multi-zone PHM effectively monitors the equipment status change and leads to a more accurate RUL prediction compared with traditional PHM.

scholarly journals A DECISION TREE-BASED CLASSIFICATION FRAMEWORK FOR USED OIL ANALYSIS APPLYING RANDOM FOREST FEATURE SELECTION

2018 ◽  
Keyword(s):  
Decision Making ◽  
Feature Selection ◽  
Random Forest ◽  
Decision Tree ◽  
Condition Monitoring ◽  
Critical Parameters ◽  
Oil Analysis ◽  
Used Oil ◽  
Maintenance Decision

Lubricant condition monitoring (LCM), part of condition monitoring techniques under Condition Based Maintenance, monitors the condition and state of the lubricant which reveal the condition and state of the equipment. LCM has proved and evidenced to represent a key concept driving maintenance decision making involving sizeable number of parameter (variables) tests requiring classification and interpretation based on the lubricant’s condition. Reduction of the variables to a manageable and admissible level and utilization for prediction is key to ensuring optimization of equipment performance and lubricant condition. This study advances a methodology on feature selection and predictive modelling of in-service oil analysis data to assist in maintenance decision making of critical equipment. Proposed methodology includes data pre-processing involving cleaning, expert assessment and standardization due to the different measurement scales. Limits provided by the Original Equipment Manufacturers (OEM) are used by the analysts to manually classify and indicate samples with significant lubricant deterioration. In the last part of the methodology, Random Forest (RF) is used as a feature selection tool and a Decision Tree-based (DT) classification of the in-service oil samples. A case study of a thermal power plant is advanced, to which the framework is applied. The selection of admissible variables using Random Forest exposes critical used oil analysis (UOA) variables indicative of lubricant/machine degradation, while DT model, besides predicting the classification of samples, offers visual interpretability of parametric impact to the classification outcome. The model evaluation returned acceptable predictive, while the framework renders speedy classification with insights for maintenance decision making, thus ensuring timely interventions. Moreover, the framework highlights critical and relevant oil analysis parameters that are indicative of lubricant degradation; hence, by addressing such critical parameters, organizations can better enhance the reliability of their critical operable equipment.

scholarly journals Model for making decisions on renewal the railway rolling stock of a transport organization

2020 ◽  
Vol 6 (3) ◽  
pp. 76-87
Author(s):  
Elena S. Palkina
Keyword(s):  
Decision Making ◽  
Capital Investment ◽  
Graphical Model ◽  
Financial Analysis ◽  
Objective Assessment ◽  
Rolling Stock ◽  
Leading Position ◽  
Forecast State ◽  
Decision Making Model ◽  
Railway Rolling Stock

Background: At present, there is an urgent problem of renovation of rolling stock characterized by a high degree in Russia. The leading position in the country's transport system belongs to railway transport. In the context of declining demand for transportation investments in railcars, which represent a significant amount of capital investment, require reasonable management decisions. Aim: is to work out a decision-making model for renewal the transport organization's railway rolling stock. Methods: of technical, economic, investment and financial analysis, decision tree, graphical modeling, system approach. Results: The basic components of the decision-making model are determined. The key indicators of railway rolling stock renewal are defined, reflecting the criteria for making managerial decisions in the field of operational, investment and financial activities. A graphical model is proposed that interprets the decision support system for purchasing new railcars. Conclusion: Using the proposed model of decision-making in the field of renovation of rolling stock allows to transfer this process to a qualitatively new level, based on the results of an objective assessment of the current and forecast state of the management object according to various alternative scenarios and based on the selection of the rational decision by comparing the expected results for each of the considered alternatives and analysis degree of their compliance with the determined goals due to its versatility and complexity.

A State-of-the-Art Critique Review of the Role of Decision-Making Techniques in NDT for Condition Monitoring

2019 ◽  
pp. 222-236
Author(s):  
Ashish Khaira ◽  
Ravi K. Dwivedi
Keyword(s):  
Decision Making ◽  
Condition Monitoring ◽  
Research Work ◽  
Research Papers ◽  
Operating Personnel ◽  
Detailed Review ◽  
Effective Condition ◽  
Year 2000 ◽  
Selection Of

Nondestructive testing (NDT) is a vital tool in maintenance. Each NDT technique has some benefits and hindrances; therefore, the selection is crucial. Generally, the selection of a technique relies on operating personnel experience, and very few research papers shows uses of the decision-making (DM) approach. It was highlighted by various researchers that if a proper DM approach is used, it will save time and increase fault detection reliability. By keeping this fact in mind, this chapter is an attempt to provide a detailed review of research work from the year 2000-2018 that covered the role of DM techniques while making combinations of NDT for effective condition monitoring. It observed from the literature that very few researchers effectively utilized the power of DM tool. The researcher can use the outcome of this work as a beacon and improve it further.

scholarly journals Feature Analysis of Degradation Signal of Rolling Stock Lateral Damper

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 298
Author(s):  
Zhiyan Zhao ◽  
Bin Wu ◽  
Ting Zhou
Keyword(s):  
Cross Correlation ◽  
Wavelet Packet ◽  
Reference Signal ◽  
Correlation Method ◽  
Health Condition ◽  
Wavelet Packet Transform ◽  
Rolling Stock ◽  
Health State ◽  
Vibration Signals ◽  
Cross Correlation Analysis

The lateral damper is one of the key components of rolling stock. Establishing the relationship between the degraded signal and the health state of the lateral damper is important in order to perform timely performance detection and fault diagnosis. This paper proposes a wavelet packet cross-correlation method (WPCC) that is based on wavelet packet transform (WPT) and cross-correlation analysis (CCA). First, the vibration signals under different running speeds, different running conditions, and different track excitations were collected and analyzed. Second, the wavelet packet transform was used to select larger energy band signals for reconstruction. Subsequently, the WPCC coefficient was calculated between the reference signal and the signal to be measured. The proposed method was applied to analysis of vibration signals of the lateral damper performance degradation. The lateral damper health condition was divided into four intervals, and the average accuracy calculated under different running speeds, different running conditions, and different track excitation was 95%.

scholarly journals An Integrated MCDM Approach to Train Derailment Risk Response Strategy Selection

Symmetry ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 47 ◽  
Author(s):  
Huafeng Zhang ◽  
Quanxin Sun
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Low Frequency ◽  
Response Strategy ◽  
Expert Advice ◽  
Rolling Stock ◽  
Economic Losses ◽  
Train Derailment ◽  
Risk Response ◽  
Risk Management Process

Train derailment can mainly cause not only economic losses in the shape of mangled rolling stock or infrastructure, but also more severely in causalities and disruptions of operations, yielding great impact on the sustainable development of railway industry. Considering various complex and symmetrical operational environments, as well as the characteristics of low frequency and high consequences of derailment accidents, risk response is undoubtedly underlined as one of the most critical components of risk management process. However, in practice, risk response does not receive enough attention in comparison with risk assessment that it lacks mature models and tools for selecting optimal strategy. This study constructs an integrated Multi Criteria Decision-Making (MCDM) model for the selection of optimum train derailment risk response strategy for the first time. In the model, decision making trial and evaluation laboratory (DEMATEL) technology is connected with analytical network process (ANP) to obtain evaluation criteria and their relative weights, and both of the two methods can deal with the complex coupling relationship between the indicators in the system. Then, technique for order performance by similarity to ideal solution (TOPSIS) is proposed to screen the optimum plan in the proposed model. Further, the Delphi method is used through the whole process to acquire expert advice. In the end, this model is used to select shunting derailment risk response strategies in Huangyangcheng station, and the final results demonstrate that this technology is simple and practical, and can provide a credible and practical tool for railway safety managers and engineers to choose the best risk response strategy.

3D Web Services for Visualization and Data Sharing in 3D Cadastre

2015 ◽  
Vol 4 (4) ◽  
pp. 1-15
Author(s):  
Ali Zare Zardiny ◽  
Farshad Hakimpour
Keyword(s):  
Decision Making ◽  
Web Services ◽  
Data Structures ◽  
Essential Role ◽  
Formal System ◽  
On Demand ◽  
3D Cadastre ◽  
Land Use Rights ◽  
Different Levels ◽  
3D Web

Land has an essential role in any society, either as one of the most important capitals of mankind or as a place for people's life and activities. Therefore, registration of ownership and land use rights in a formal system is a major issue. In different countries, Cadastre systems can register extent, rights, restrictions and responsibilities related to land parcels. Many organizations such as municipality, tax and banks need to this information for planning and decision making. Considering the needs for land information by different organizations, access to cadastre data gains a lot of importance. Despite this importance, access to cadastre information encounter with different challenges such as differences in platforms or data structures and access to semantic and geometric data. The main goal of this research is to overcome these challenges and to improve the interoperability in sharing and accessing 3D cadastre data and challenges. This paper investigates capabilities of current 3D Spatial Web Services: WFS, WVS, WTS and W3DS as well as advantages of using these 3D services for access to 3D cadastre data. The authors also combined the legal classes of LADM with geometrical classes of CityGML for transferring the semantic and geometric cadastre data. Finally, some prospects of using 3D Web Services will be illustrated through implementation the scenarios. The most important advantages of using 3D Spatial Web Services in cadastre are on the fly construction and on demand presentation of 3D cadastral model, facilitating of access to legal and descriptive cadastre information, no necessity to user's awareness of data structure in cadastre database and compatibility with different levels of users.

Condition monitoring at the wheel/rail interface for decision-making support

2014 ◽  
Vol 228 (6) ◽  
pp. 705-715 ◽  
Author(s):  
Mikael Palo ◽  
Diego Galar ◽  
Thomas Nordmark ◽  
Matthias Asplund ◽  
Dan Larsson
Keyword(s):  
Decision Making ◽  
Condition Monitoring ◽  
Decision Making Support

Research on the Equipment Support Decision Making Agent

2014 ◽  
Vol 945-949 ◽  
pp. 3082-3086
Author(s):  
Xing Zhang ◽  
Xiao Ming Du ◽  
Ning Zhu ◽  
Xiu Bin Li
Keyword(s):  
Decision Making ◽  
Data Structures ◽  
Intelligent Control ◽  
Feedback Condition ◽  
Primary Data ◽  
Control Field ◽  
Agent Model ◽  
Bdi Agent ◽  
The Moment ◽  
Support Decision Making

The crossover of the building of the BDI model and the Agent model helped to materialize the formation of the BDI-Agent model, strenthening the theoretical basis of the intelligent control field. According to recent studies about the equipment support decision making, relative research of the model of BDI-Agent with feedback has made less works. The research on the equipment support decision making BDI-Agent with feedback is an exploration of the study of the BDI-Agent model, On basis of the recommendation of the development of the BDI-Agent model and its primary data structures, brings up a kind of idea about the BDI-Agent model with feedback. To prove the feasibility of the idea, brings out a background, what is the moment when the equipment supporter meets a firethreaten during carrying out a mission, sets up a feedback condition. By means of programming the rationality of the BDI-Agent model with feedback is verified.

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