Remote, condition-based maintenance for web-enabled robotic system

Kwon, Yongjin; Chiou, Richard; Stepanskiy, Leonard G.

doi:10.1016/j.rcim.2008.04.001

Cited by 14 publications

(6 citation statements)

References 25 publications

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“…The core objective of the said robot is to support maintenance vehicles with power, materials and etc. A remote condition based maintenance scheme for robots has introduced in [8] where a remotely located maintenance personnel is able to monitor the condition of harmonic drives attached to each axis and take timely decisions regarding their replacement. A new software for 6-DOF articulated robot manipulators was introduced in [9].…”

Section: Related Work 3d Robotic Vision and Force Controlmentioning

confidence: 99%

Autonomous rolling-stock coupler inspection using industrial robots

Vithanage

Harrison

Silva

2019

Robotics and Computer-Integrated Manufacturing

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In railway rolling-stock maintenance, where the environment is highly unstructured and unpredictable, the detection and localization of smaller components is difficult and remains a key challenge in introducing autonomous systems. This paper presents the design and evaluation of a system, which allows industrial robots to inspect the electric head of railway couplers. The system developed comprising multiple sensors and active-compliant end of arm tooling, is robust to noise and ambiguities. Successful validation of the system is achieved using both an actual coupler in its working environment and an experimental setup that includes a commercial grade industrial robot and a mock coupler.

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Section: Related Work 3d Robotic Vision and Force Controlmentioning

confidence: 99%

Autonomous rolling-stock coupler inspection using industrial robots

Vithanage

Harrison

Silva

2019

Robotics and Computer-Integrated Manufacturing

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“…It has some drawbacks due to some of the subjectivity bias caused by human decision inputs. Kwon (Kwon et al, 2009) has also proposed a similar methodology as in (Baruah et al, 2006) because both of them discussed the online maintenance approach. This paper focusses on the analysis of data available through internet for the remotely located systems.…”

Section: Survey Of Recent Developments In Cbmmentioning

confidence: 99%

Condition based maintenance: a survey

Prajapati¹,

Bechtel

Ganesan

2012

Journal of Quality in Maintenance Engineering

169

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Purpose -The purpose of this paper is to provide a brief overview of condition based maintenance (CBM) with definitions of various terms, overview of some history, recent developments, applications, and research challenges in the CBM domain. Design/methodology/approach -The article presents the insight into various maintenance strategies and provides their respective merits and demerits in various aspects. It then provides the detailed discussion of CBM that includes applications of various methodologies and technologies that are being implemented in the field. Finally, it ends with open challenges in implementing condition based maintenance systems. Findings -This paper surveys research articles and describes how CBM can be used to optimize maintenance strategies and increase the feasibility and practicality of a CBM system. Practical implications -CBM systems are completely practical to implement and applicable to various domains including automotive, manufacturing, aviation, medical, etc. This paper presents a brief overview of literature on CBM and an insight into CBM as a maintenance strategy. CBM has wide applications in automotive, aviation, manufacturing, defense, and other industries. It involves various disciplines like data mining, artificial intelligence, and statistics to enable the systems to be maintenance intelligent. These disciplines help in predicting the future consequences based on the past and current system conditions. Based on the authors' studies, implementation of such a system is easy and cost effective because it uses existing subsystems to collect statistical data. On top of that it requires building a software layer to process the data and to implement the prognosis techniques in the form of algorithms. Social implications -The design of CBM systems highly impact the society in terms of maintenance cost (i.e. reduces the maintenance cost of automobiles, safety by providing real time reporting of the fault using prognosis). Originality/value -To the best of the authors' knowledge, this paper is first of its kind in the literature which presents several maintenance strategies and provides a number of possible research directions listed in open research challenges.

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“…It has some drawbacks because of some human decisive factor. Kwon et al . also proposed a similar methodology as in because both of them discussed the online maintenance approach.…”

Section: Related Workmentioning

confidence: 99%

Application of Statistical Techniques and Neural Networks in Condition‐Based Maintenance

Prajapati

Ganesan

2012

Quality & Reliability Eng

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In this paper, we have evaluated five prediction approaches from two disciplines for condition-based maintenance. It also includes a case study for vehicle tire pressure monitoring as an example application. Main focus of this paper is on two widely used areas in prediction: (i) statistics, (ii) neural networks. It is well known that these two areas have wide applications in forecasting. Statistical and neural network techniques are very powerful for predicting the future states based on current and previous states of the system or subsystem. Application of ARAR and Holt-Winters (HW) in CBM has been presented from the statistics point of view. On the other hand, application of focused time delay, linear predictor, and backpropagation neural network has also been presented to prove the robustness of statistical approaches. Paper presents detailed comparative simulation study to show the suitability and feasibility of all the techniques. We assumed that the sensors are directly mounted on tires externally and report the current tire pressure to control or analysis. The control unit performs tire pressure analysis and reports the decision to operator or intended group about current pressure as well as the impending pressure conditions. Finally, investigation ends with conclusion that HW is best suited among these five approaches for tire pressure prediction and could be useful to design a CBM application for any system.3.3.1. Neural network topologies and training. The neural networks exist mainly in two forms: static and dynamic. Static networks 28 are traditional input » process » output-based networks, also called feed-forward networks or memory-less networks. In such networks, input to a layer depends only on preceding layer. The static neural networks have wide applications in maintenance engineering and A. PRAJAPATI AND S. GANESAN The time-based maintenance 8 is a maintenance based on predefined intervals, no matter what is the condition at that time. For example, oil change in car is periodic either based on mileage or interval, significant portion of its life may be still left. B. Condition Based MaintenanceCondition Based maintenance 5 deals with monitoring the condition of mission critical and safety-critical parts in carrying out maintenance whenever necessary to avoid hazards rather than following a fixed schedule. C. Condition-Based Maintenance Plus (CBM+)The CBM + includes RCM analysis other than regular CBM component. Again air force definition of CBM + 5 is as follows, 'Condition Based Maintenance Plus (CBM+) expands upon these basic concepts, encompassing other technologies, processes, and procedures that enable improved maintenance and logistics practices. These future and existing technologies, processes, and capabilities will be addressed during the capabilities planning, acquisition, sustainment, and disposal of a weapon system.' D. Reliability Center MaintenanceRCM 2 enables the formulation of the maintenance strategy by selecting the right mix of corrective maintenance, scheduled based mainten...

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Remote, condition-based maintenance for web-enabled robotic system

Cited by 14 publications

References 25 publications

Autonomous rolling-stock coupler inspection using industrial robots

Autonomous rolling-stock coupler inspection using industrial robots

Condition based maintenance: a survey

Application of Statistical Techniques and Neural Networks in Condition‐Based Maintenance

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