Profitable Condition MonitoringBKN Rao To engineer and manufacture is human. Manufactured goods are subjected to severe international competitive forces. Consumers' perceptions towards total quality, reliable performance, health and safety, environmental issues, energy conservation and cost of ownership are changing day by day. Manufacturers have no alternative but to satisfy the consumer's increasing demands with maximum efficiency and profitability with minimum delay. Failure to meet such a challenge is clearly undesirable and will, no doubt, result in the closure of manufacturing activities, which is still regarded by many as the backbone of our national economy. Manufacturing for profitability should be the number one concern of all serious minded and responsible people. To help the industries to meet these challenges and to manage efficiently well into 1990s and beyond, the Technical Advisory Committee in their wisdom decided the appropriate theme, Profitable Condition Monitoring, for this year's International Conference, to coincide with the great European market to be opened in 1993. The benefits from condition monitoring are well documented. Condition monitoring is now an affordable technology which is waiting to be fully exploited by all sectors of industry, both big and small. Many companies have realised the following benefits from condition monitoring: • optimisation of profits • maximisation of production • cost-effective maintenance • minimisation of product liability • maximisation of total quality. As the contents of this proceedings reveal, there have been a number of significant advances in condition monitoring of which companies ought to be taking full advantage. |
Contents
Implementing a cost effective machinery condition monitoring program | 3 |
The effective integration of condition based maintenance into profit orientated | 27 |
Online diagnostic expert system for gas turbines | 47 |
Energy saving in pumping in the UK water industry | 69 |
The deterministic chaos method application for a condition monitoring system | 113 |
The development of condition monitoring within the chemicals division | 125 |
A new way of life | 145 |
The human pilot and the automated aeroplane | 165 |
An engineers view of human error | 179 |
T A Kletz Process Safety Consultant | 193 |
Neural network solution to coolant system diagnostics | 217 |
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Common terms and phrases
accelerometer achieved alarm Amethyst approach Artificial Intelligence automatic automation bearing benefits changes COMADEM companies component compressor compressor map condition based maintenance condition monitoring system contaminant monitoring data collection database detected diagnostics display effective engine equipment example expert system failure Figure filter flow fluid frequency function gas turbine gear Heimdal hydraulic identify implementation increase industry inference engine input integration ISBN Kurtosis large number lubricant machine machinery Maintenance Management System maintenance strategy measurement Mechanics method Mycin neural network neurons normal occur off-line oil analysis on-line operation output parameters particles performance pilot plant polytropic predictive maintenance pressure proactive maintenance problems Profitable Condition Monitoring pump efficiency reduced rulebase sample sensor shaft signal supervised learning techniques Temperature below TTLA Thermocouple thermodynamic trend Tribology values valve vibration vibration monitoring wear debris workload