Asset Condition Management: A Framework for Smart, Health-Ready Manufacturing Systems

2020 ◽  
Author(s):  
Nancy Diaz-Elsayed ◽  
Luis Hernandez ◽  
Ravi Rajamani ◽  
Brian A. Weiss
Keyword(s):  
Asset Management ◽  
Manufacturing Systems ◽  
Health Management ◽  
Point Of View ◽  
Future Health ◽  
Plant Operations ◽  
Lost Productivity ◽  
Outreach Effort ◽  
Smart Technologies ◽  
Awareness System

Abstract Unscheduled downtime in manufacturing systems can be a major source of lost productivity, profits, and, ultimately, reduced process quality and reliability. However, the incorporation of asset condition management (ACM) into manufacturing systems offers an approach to improve equipment and plant operations by providing real-time condition awareness, system diagnostics, and estimates of future health to enable predictive maintenance. ACM is a framework for assessing the current and future state of health of a manufacturing system and integrating that knowledge with enterprise applications to meet the demand of production operations. In manufacturing systems, successful operations rely on the ability to maintain production assets at their optimal working levels to optimize operations and system performance. Some large corporations have made great strides in incorporating smart technologies to enhance their asset management strategy; however, small- and medium-sized enterprises (SMEs) face distinct challenges. One of the key challenges is that most SMEs do not have the wherewithal to invest in new machines nor is there standard guidance on how older machines can be integrated into an ACM solution, so that their end-to-end manufacturing process can be optimized from a health management point of view. This research presents a framework for ACM to facilitate its introduction into manufacturing systems based on their “health-ready” capabilities. Specifically, an ACM system architecture is defined for manufacturing systems, the health-ready principles and capability levels from the aerospace and automotive industries are adapted to the manufacturing domain, and the results from the outreach effort to the manufacturing community are discussed.

The Development of Production Monitoring Systems

1988 ◽  
Vol 202 (3) ◽  
pp. 177-184
Author(s):  
E T Ososanya ◽  
I T Franks
Keyword(s):  
Real Time ◽  
Computer Technology ◽  
Manufacturing Systems ◽  
Monitoring Systems ◽  
Manufacturing Plant ◽  
Considerable Potential ◽  
Development System ◽  
Plant Operations ◽  
On Line ◽  
Production Monitoring

Computer technology has given manufacturers the opportunity to monitor, on-line and in real-time, a wide variety of manufacturing systems. Such monitoring systems have considerable potential for expansion and development but need to take account of the special characteristics of particular manufacturing systems and how the information is to be used to best effect. This paper outlines the use of monitoring in the broad context of manufacturing plant operations and describes the design of a development system that will facilitate research into the effective application and improvement of monitoring systems.

Gas Turbine Health State Prognostics by Means of Bayesian Hierarchical Models

2019 ◽  
Author(s):  
Enzo Losi ◽  
Mauro Venturini ◽  
Lucrezia Manservigi
Keyword(s):  
Gas Turbine ◽  
Field Data ◽  
Health Management ◽  
Theoretical Background ◽  
Health State ◽  
Prediction Errors ◽  
Probabilistic Prediction ◽  
Future Health ◽  
Bayesian Hierarchical ◽  
Prediction Reliability

Abstract The prediction of the time evolution of gas turbine performance is an emerging requirement of modern prognostics and health management (PHM), aimed at improving system reliability and availability, while reducing life cycle costs. In this work, a data-driven Bayesian Hierarchical Model (BHM) is employed to perform a probabilistic prediction of gas turbine future health state thanks to its capability to deal with fleet data from multiple units. First, the theoretical background of the predictive methodology is outlined to highlight the inference mechanism and data processing for estimating BHM predicted outputs. Then, BHM is applied to both simulated and field data representative of gas turbine degradation to assess its prediction reliability and grasp some rules of thumb for minimizing BHM prediction error. For the considered field data, the average values of the prediction errors were found to be lower than 1.0 % or 1.7 % for single- or multi-step prediction, respectively.

Industrial Robot Accuracy Degradation Monitoring and Quick Health Assessment

2019 ◽  
Vol 141 (7) ◽  
Author(s):  
Guixiu Qiao ◽  
Brian A. Weiss
Keyword(s):  
Production Efficiency ◽  
Health Management ◽  
Research Effort ◽  
Industrial Robot ◽  
Health Assessment ◽  
Test Method ◽  
Health State ◽  
Future Health ◽  
Robot Accuracy ◽  
Degradation Monitoring

Robot accuracy degradation sensing, monitoring, and assessment are critical activities in many industrial robot applications, especially when it comes to the high accuracy operations which may include welding, material removal, robotic drilling, and robot riveting. The degradation of robot tool center accuracy can increase the likelihood of unexpected shutdowns and decrease manufacturing quality and production efficiency. The development of monitoring, diagnostic and prognostic (collectively known as prognostics and health management (PHM)) technologies can aid manufacturers in maintaining the performance of robot systems. PHM can provide the techniques and tools to support the specification of a robot’s present and future health state and optimization of maintenance strategies. This paper presents the robotic PHM research and the development of a quick health assessment at the U.S. National Institute of Standards and Technology (NIST). The research effort includes the advanced sensing development to measure the robot tool center position and orientation; a test method to generate a robot motion plan; an advanced robot error model that handles the geometric/nongeometric errors and the uncertainties of the measurement system, and algorithms to process measured data to assess the robot’s accuracy degradation. The algorithm has no concept of the traditional derivative or gradient for algorithm converging. A use case is presented to demonstrate the feasibility of the methodology.

Minding the money: a growing responsibility for informal carers

2005 ◽  
Vol 25 (2) ◽  
pp. 215-227 ◽  
Author(s):  
CHERYL TILSE ◽  
DEBORAH SETTERLUND ◽  
JILL WILSON ◽  
LINDA ROSENMAN
Keyword(s):  
Decision Making ◽  
Older People ◽  
Informal Care ◽  
Asset Management ◽  
Service Providers ◽  
Policy And Practice ◽  
Future Health ◽  
Care Givers ◽  
Care Giving ◽  
Informal Carers

Managing the assets of older people is a common and potentially complex task of informal care with legal, financial, cultural, political and family dimensions. Older people are increasingly recognised as having significant assets, but the family, the state, service providers and the market have competing interests in their use. Increased policy interest in self-provision and user-charges for services underline the importance of asset management in protecting the current and future health, care and accommodation choices of older people. Although ‘minding the money’ has generally been included as an informal care-giving task, there is limited recognition of either its growing importance and complexity or of care-givers' involvement. The focus of both policy and practice have been primarily on substitute decision-making and abuse. This paper reports an Australian national survey and semi-structured interviews that have explored the prevalence of non-professional involvement in asset management. The findings reveal the nature and extent of involvement, the tasks that informal carers take on, the management processes that they use, and that ‘minding the money’ is a common informal care task and mostly undertaken in the private sphere using some risky practices. Assisting informal care-givers with asset management and protecting older people from financial risks and abuse require various strategic policy and practice responses that extend beyond substitute decision-making legislation. Policies and programmes are required: to increase the awareness of the tasks, tensions and practices surrounding asset management; to improve the financial literacy of older people, their informal care-givers and service providers; to ensure access to information, advice and support services; and to develop better accountability practices.

scholarly journals Industry 4.0 Contribution to Asset Management in the Electrical Industry

2021 ◽  
Vol 13 (18) ◽  
pp. 10369
Author(s):  
Gabrielle Biard ◽  
Georges Abdul Nour
Keyword(s):  
Big Data ◽  
Asset Management ◽  
Smart Grids ◽  
Industry 4.0 ◽  
Current Model ◽  
Relevant Information ◽  
Point Of View ◽  
Electrical Networks ◽  
Use Of Resources ◽  
Technological Developments

Industry 4.0 has revolutionized paradigms by leading to major technological developments in several sectors, including the energy sector. Aging equipment fleets and changing demand are challenges facing electricity companies. Forced to limit resources, these organizations must question their method and the current model of asset management (AM). The objective of this article is to detail how industry 4.0 can improve the AM of electrical networks from a global point of view. To do so, the industry 4.0 tools will be presented, as well as a review of the literature on their application and benefits in this area. From the literature review conducted, we observe that once properly structured and managed, big data forms the basis for the implementation of advanced tools and technologies in electrical networks. The data generated by smart grids and data compiled for several years in electrical networks have the characteristics of big data. Therefore, it leaves room for a multitude of possibilities for comprehensive analysis and highly relevant information. Several tools and technologies, such as modeling, simulation as well as the use of algorithms and IoT, combined with big data analysis, leads to innovations that serve a common goal. They facilitate the control of reliability-related risks, maximize the performance of assets, and optimize the intervention frequency. Consequently, they minimize the use of resources by helping decision-making processes.

French Nuclear Power Plants Life Management Ageing Management Process: Matrix of Degradation Evaluation for Strategic Decision Combined With Components

2005 ◽  
Author(s):  
Georges Bezdikian
Keyword(s):  
Asset Management ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Point Of View ◽  
Strategic Decision ◽  
Life Management ◽  
Life Evaluation ◽  
Maintenance Program ◽  
Periodic Maintenance

The life management of French Nuclear Power Plants is an important issue and a major stake considering the aging management assessment of the key components of the plant, both from an economic and a technical point of view. The actual life evaluation is: • The first 3-loop PWR plants have 25 years in operation, • The first 4-loop PWR plants have 19 years in operation. To optimize the best and strategic choice in order to achieve the best possible performance and to prepare the technical and economical choice and decision considering: • the mode of degradation for different components, • the industrial capacity and capability to replace or to repair components, • the life evaluation of components with time limit in operation, the French utility has organized the life management of Nuclear Plant in function of several program of knowledge on degradation mode from the large and long term experience feedback and the maintenance program for life management based on normal and periodic maintenance actions and exceptional maintenance carried out on strategic components. This paper shows the table of degradation mode and different actions engaged by utility on: • In-Service Inspection, periodic maintenance, • Alternative maintenance actions, • Exceptional program of maintenance based on several mitigation and strategic replacement of components. This paper provides the reader with an overview of how advanced information processing techniques to the improvement of in-service inspections, condition-based maintenance, and asset management.

New View to Quality Assessment and Decision Making

2015 ◽  
Vol 799-800 ◽  
pp. 1417-1421 ◽  
Author(s):  
Gennadiy Rubin ◽  
Gennadiy Gun ◽  
Marina Polyakova
Keyword(s):  
Decision Making ◽  
Quality Improvement ◽  
Quality Assessment ◽  
Product Quality ◽  
Manufacturing Systems ◽  
Point Of View ◽  
Customer Requirements ◽  
Degree Of Satisfaction ◽  
Metal Products ◽  
Research And Design

This paper contains main principles of function-oriented analysis. This approach may be used to estimate the product quality from the point of view of its consumer properties. The object and its components are studied in terms of the functions they fulfill, which corresponds to the degree of satisfaction of the customer requirements (or expectations). It makes possible to find out the relation between the consumer functions and the product properties and determines the practical ways of quality improvement. It is proved that the function-oriented analysis can be used efficiently for both current metal products and for research and design of up-to-date engineering and manufacturing systems.

APPROACHES TO THE VALUATION AND REVALUATION OF FIXED ASSETS ACCORDING TO RUSSIAN AND INTERNATIONAL STANDARDS

2021 ◽  
Vol 27 (3) ◽  
pp. 87-98
Author(s):  
V. Gonin ◽  
◽  
E. Panchenko ◽  
E. Kibireva ◽  
O. Nomokonova ◽  
...  
Keyword(s):  
Asset Management ◽  
Point Of View ◽  
International Standards ◽  
Historical Background ◽  
Accounting System ◽  
Historical Aspect ◽  
Management Procedures ◽  
Fixed Assets ◽  
The Cost ◽  
The Impact

Questions of valuation and revaluation of fixed assets in a market environment inevitably arise. This is due to the increased role of assessing the effectiveness of asset management. The harmonization of national and international accounting standards allows us to consider the assessment and revaluation processes, both from the point of view of the accounting system and from the point of view of the financial consequences of the procedures performed. The purpose of the study is to study the historical background and systematize approaches to the assessment and revaluation of fixed assets according to Russian and international standards. To achieve this goal, the following tasks are set: to study the methods and historical aspect of revaluation; to study the conceptual framework of revaluation and impairment; to systematize the general provisions of the methodology for assessing the value of fixed assets during revaluation and impairment. The object of the study is fixed assets. In the course of the study, the history of revaluation of the cost of fixed assets is considered, the conceptual apparatus of the cost of fixed assets is analyzed in relation to the procedures for revaluation and impairment testing, the methodology of revaluation and impairment is considered. The paper concludes that it is necessary to introduce into the practice of accounting and management procedures for assessing the value of fixed assets and revaluing them, which will allow us to obtain reliable information when analyzing the impact of cost changes on the indicators used in determining the effectiveness of activities

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