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Title: Stop walking through the maintenance mine field with your eyes closed. The financial justification for a CM/PDM program

Abstract

Before getting started on what a well thought-out condition monitoring/predictive maintenance (CM/PDM) program for any coal company should look like, it is important to try and justify it financially. To make an educated decision on an expected return on investment (RoI) a mine or plant manager should break the problem down to its simplest form. By employing predictive technologies the effect of any failures to equipment will be minimised. 4 figs.

Authors:
 [1]
  1. Snell Infrared, Montpelier, VT (United States)
Publication Date:
OSTI Identifier:
20862127
Resource Type:
Journal Article
Resource Relation:
Journal Name: Coal Age; Journal Volume: 111; Journal Issue: 12
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; MAINTENANCE; COAL PREPARATION PLANTS; THERMOGRAPHY; MINING EQUIPMENT; FAILURES; INSPECTION; COAL MINING; MONITORING; PLANNING

Citation Formats

Harold Van de Ven. Stop walking through the maintenance mine field with your eyes closed. The financial justification for a CM/PDM program. United States: N. p., 2006. Web.
Harold Van de Ven. Stop walking through the maintenance mine field with your eyes closed. The financial justification for a CM/PDM program. United States.
Harold Van de Ven. Fri . "Stop walking through the maintenance mine field with your eyes closed. The financial justification for a CM/PDM program". United States. doi:.
@article{osti_20862127,
title = {Stop walking through the maintenance mine field with your eyes closed. The financial justification for a CM/PDM program},
author = {Harold Van de Ven},
abstractNote = {Before getting started on what a well thought-out condition monitoring/predictive maintenance (CM/PDM) program for any coal company should look like, it is important to try and justify it financially. To make an educated decision on an expected return on investment (RoI) a mine or plant manager should break the problem down to its simplest form. By employing predictive technologies the effect of any failures to equipment will be minimised. 4 figs.},
doi = {},
journal = {Coal Age},
number = 12,
volume = 111,
place = {United States},
year = {Fri Dec 15 00:00:00 EST 2006},
month = {Fri Dec 15 00:00:00 EST 2006}
}
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