Integrated Operational and Maintenance Planning of Production and Utility Systems

2018 ◽  
pp. 191-244
Author(s):  
Georgios M. Kopanos ◽  
Luis Puigjaner
Keyword(s):  
Maintenance Planning ◽  
Utility Systems

Energy Saving Analysis Simulator for Utility Systems

2014 ◽  
Vol 134 (4) ◽  
pp. 599-606
Author(s):  
Yasushi Tomita ◽  
Junichi Murata
Keyword(s):  
Energy Saving ◽  
Utility Systems

scholarly journals Maintenance Planning of Offshore Wind Turbine Using Condition Monitoring Information

2009 ◽  
Author(s):  
Jose´ G. Rangel-Rami´rez ◽  
John D. So̸rensen
Keyword(s):  
Condition Monitoring ◽  
Wind Turbines ◽  
Wind Farm ◽  
Offshore Structures ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Maintenance Planning ◽  
Offshore Wind Turbines ◽  
Inspection And Maintenance ◽  
Monitoring Information

Deterioration processes such as fatigue and corrosion are typically affecting offshore structures. To “control” this deterioration, inspection and maintenance activities are developed. Probabilistic methodologies represent an important tool to identify the suitable strategy to inspect and control the deterioration in structures such as offshore wind turbines (OWT). Besides these methods, the integration of condition monitoring information (CMI) can optimize the mitigation activities as an updating tool. In this paper, a framework for risk-based inspection and maintenance planning (RBI) is applied for OWT incorporating CMI, addressing this analysis to fatigue prone details in welded steel joints at jacket or tripod steel support structures for offshore wind turbines. The increase of turbulence in wind farms is taken into account by using a code-based turbulence model. Further, additional modes t integrate CMI in the RBI approach for optimal planning of inspection and maintenance. As part of the results, the life cycle reliabilities and inspection times are calculated, showing that earlier inspections are needed at in-wind farm sites. This is expected due to the wake turbulence increasing the wind load. With the integration of CMI by means Bayesian inference, a slightly change of first inspection times are coming up, influenced by the reduction of the uncertainty and harsher or milder external agents.

scholarly journals A Taxonomy of Railway Track Maintenance Planning and Scheduling: A Review and Research Trends

2021 ◽  
pp. 107827
Author(s):  
Mahdieh Sedghi ◽  
Osmo Kauppila ◽  
Bjarne Bergquist ◽  
Erik Vanhatalo ◽  
Murat Kulahci
Keyword(s):  
Research Trends ◽  
Railway Track ◽  
Maintenance Planning ◽  
Planning And Scheduling ◽  
Track Maintenance

Impacts of the 2018 M7.1 Anchorage earthquake on schools

2021 ◽  
pp. 875529302098802
Author(s):  
Janise Rodgers ◽  
Wael Hassan ◽  
Christopher Motter ◽  
John Thornley
Keyword(s):  
School Districts ◽  
Structural Damage ◽  
Protective Action ◽  
School Buildings ◽  
Seismic Safety ◽  
Nonstructural Components ◽  
Student Preparedness ◽  
Utility Systems ◽  
Media Reports ◽  
Observed Damage

The 2018 M7.1 Anchorage earthquake damaged over 120 schools in the Anchorage and Matanuska-Susitna (Mat-Su) School Districts. Many remained closed for a week or more for cleanup and repairs, primarily due to nonstructural damage. Major structural damage occurred in three of 132 school buildings across both districts, and a number of additional schools had minor to moderate damage. Most observed damage was to nonstructural components, including suspended ceilings, lighting, architectural finishes, building utility systems, and equipment. Middle and high schools were in session at the time of the earthquake. Despite ceiling damage and fallen ceiling tiles, books, and supplies (heavy furniture was anchored) and objects swinging from the ceiling, both districts reported very few injuries. Statements by the school districts and administrators, media reports, and available video indicate that most students dropped, covered, and held on as practiced in regular drills. The combination of life-safety structural performance (with a few exceptions) due in part to moderate shaking, as well as anchoring of heavy furnishings, and student preparedness and drills to practice protective action, appears to have protected students. Both districts’ experiences provide evidence that school seismic safety programs are valuable, even if efforts to mitigate risks from older, vulnerable schools are in process and more work remains.

scholarly journals A Multiobjective Decision-Making Model for Risk-Based Maintenance Scheduling of Railway Earthworks

2021 ◽  
Vol 11 (3) ◽  
pp. 965
Author(s):  
Irina Stipanovic ◽  
Zaharah Allah Bukhsh ◽  
Cormac Reale ◽  
Kenneth Gavin
Keyword(s):  
Utility Theory ◽  
Structural Reliability ◽  
Structural Performance ◽  
Maintenance Planning ◽  
Relative Importance ◽  
User Cost ◽  
Multi Attribute Utility Theory ◽  
Network Maintenance ◽  
Decision Making Model ◽  
Do So

Aged earthworks constitute a major proportion of European rail infrastructures, the replacement and remediation of which poses a serious problem. Considering the scale of the networks involved, it is infeasible both in terms of track downtime and money to replace all of these assets. It is, therefore, imperative to develop a rational means of managing slope infrastructure to determine the best use of available resources and plan maintenance in order of criticality. To do so, it is necessary to not just consider the structural performance of the asset but also to consider the safety and security of its users, the socioeconomic impact of remediation/failure and the relative importance of the asset to the network. This paper addresses this by looking at maintenance planning on a network level using multi-attribute utility theory (MAUT). MAUT is a methodology that allows one to balance the priorities of different objectives in a harmonious fashion allowing for a holistic means of ranking assets and, subsequently, a rational means of investing in maintenance. In this situation, three different attributes are considered when examining the utility of different maintenance options, namely availability (the user cost), economy (the financial implications) and structural reliability (the structural performance and subsequent safety of the structure). The main impact of this paper is to showcase that network maintenance planning can be carried out proactively in a manner that is balanced against the needs of the organization.

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