Guide for Property Condition Assessments: Baseline Property Condition Assessment Process

2008 ◽  
Author(s):  
Collections ◽  
2019 ◽  
Vol 15 (2-3) ◽  
pp. 178-189
Author(s):  
Jennifer Hain Teper

Condition assessments have long been a tool for preservation professionals to develop collections care practices and establish treatment priorities. Although collections vary greatly among libraries, archives, and museums (LAMs), similarities exist in our approaches and recommendations for storage, handling, exhibit, and treatment prioritization. In addition, few institutions exist whose collection strictly contains a single format of material—almost all LAMs hold some variety of materials. To date, however, our approaches to assessment have been siloed into our respective areas, with tools available for each collecting area or object type. This article examines the history of condition assessments, reviews existing tools and efforts, and argues the value of building more unified efforts in condition assessment tools to better merge LAM vocabularies and preservation efforts. This article further serves as a call to action to develop cross-disciplinary applications to help professionals more effectively administer collections care and evaluate preservation priorities of mixed collections.


2021 ◽  
Author(s):  
Hui-Yun K. Tsai

The Antarctic Ocean whaling photo album is an album published during the 1940's by a Japanese marine product company. The album contains 52 gelatin silver prints of a whaling expedition to the Antarctic Ocean and is a fascinating visual record of the Japanese whaling industry. Using this album as a case study, this thesis project is a study of the cataloguing process and preservation of a photographic album. The goal of this project is to make the album more accessible to researchers through translation, cataloguing and digitization, as well as to provide a preservation strategy through condition assessments. This paper summarizes the research conducted on the album, outlines the cataloguing process, the condition assessment of the album and provides a treatment proposal and a handling guideline for the album. The paper also includes a Romanization chart and a translation table of the album texts as aids for further research.


2018 ◽  
Vol 2 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Glenda Mayo ◽  
Pauline Karanja

ABSTRACT The aim of the research included an exploration of the condition assessment process, and the Facilities Condition Index (FCI) as a metric to assign condition levels for commercial structures. The computation and use of various metrics for the asset management process are not standardized. The paper aims to clarify the current industry practices regarding how various assessments are currently utilized and to also compare existing literature to existing industry practices. Utilizing the Delphi Technique, an industry panel provided a synopsis of current practices. The research included organized discussions with industry as a method to supplement the Delphi survey responses and ensure accurate representation of industry practices. The assessment of the current standard of practice revealed that there is currently no established assessment methodology for data collection and the lack of proper categorization of the assets within a building hampers the frequent and widespread use of specific performance metrics within the industry. Although the intent was to establish consensus, the results of this study provide a clear indication that the disagreement levels in the categories represent the overall industry struggles, the lack of standards, and issues in the use of metrics, especially with the varied computation of the FCI. Existing literature is limited in the areas of condition metrics, especially for applied recommendations. The results provide a foundational state of practice and highlight the needed industry improvements for condition assessments and additionally, how FM's utilize the data they collect.


Author(s):  
Barry Taylor ◽  
Ivano Pagotto ◽  
Jeff Stewart

The OEM, using a set of planned maintenance schedules that are based upon running hours or inspections, has traditionally formulated gas turbine maintenance practice. This maintenance concept has been reasonably successful, but it fails to take into account the introduction of new technologies than can provide the operator with a more meaningful insight into the condition of the turbine, perhaps even in a prognostic manner. The application of computer based technology to gas turbine condition monitoring can provide a significant reduction in maintenance costs. At the same time, condition-monitoring technology can provide an improvement in reliability and availability by extending the maintenance intervals and reducing the number of unplanned outages. This paper will discuss the introduction of an integrated approach to gas turbine control and engine condition assessment. This integrated approach enables the control to turn engine data into useful information and knowledge that assists the operator with trouble shooting and maintenance condition assessments thus lowering the overall engine maintenance costs.


2020 ◽  
Vol 5 (3) ◽  
pp. 1-12
Author(s):  
Quentin Bechet ◽  
Xavier Philoleau ◽  
Melissa Mellado-Ruiz ◽  
Amanda Siqueira ◽  
Michelle Aguilar

Inspection and condition assessments of network infrastructure are critical for water utilities and city councils to ensure the structural integrity and functionality of sewer pipes and stormwater drains. These assessments are necessary to identify the pipes requiring rehabilitation before they deteriorate past the point of renewal. In practice, these assessments are performed manually through camera inspection of the pipes. However, the visual observation of the resulting footage can be biased by the operator subjectivity. VAPAR.Solutions is a cloud platform that automates condition assessment directly from a pipe’s CCTV footage. In this context, VAPAR, an Australian-based company, developed a deep-learning algorithm to code inspection videos automatically and consistently. This study aimed to evaluate the performance of this auto-coding algorithm by using a dataset of 203 inspection videos captured in stormwater and sewer pipes in Victoria, Australia. This study revealed that the VAPAR algorithm missed fewer defects in sewer and stormwater pipes (13.2%) than the operator during visual inspection (36.6%). The VAPAR algorithm was, however, ‘over-sensitive’ and generated 28.1% of false alarms, against 7.8% for the operator. This study also revealed that the VAPAR algorithm was significantly more accurate than the operator at grading the pipes, with an accuracy between 76.3-79.8% against 48.5-52.2% for the operator.


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