Condition-Based Assessment of Marine Air-Cooled Medium Voltage Generators

2013 ◽  
Author(s):  
Vicki Warren
Keyword(s):  
Operating Conditions ◽  
Medium Voltage ◽  
Maintenance Program ◽  
Ship Maintenance ◽  
On Line ◽  
Rotor Winding ◽  
Abnormal Operating Conditions ◽  
Maintenance Personnel ◽  
Marine Vessels ◽  
Winding Insulation

The generators in a marine vessel are reliable and require minimal maintenance; however, as the generator ages and because of the harsh operating and ambient environments shipboard generators will develop problems. Ship maintenance personnel need reliable advanced notice of when and where problems develop within the stator or rotor winding insulation system. Unfortunately, traditional off-line testing does not provide this, as tests are done as a part of planned maintenance and under abnormal operating conditions of mechanical, thermal, ambient and electrical stresses. Advances in on-line monitoring have proven effective in meeting the need of maintenance personnel with a Condition-Based Maintenance program for air-cooled generators in marine vessels.

Use of AE Based Instrumentation to Monitor Machinery Condition in the Industrial Environment

2006 ◽  
Vol 13-14 ◽  
pp. 45-50
Author(s):  
Trevor J. Holroyd
Keyword(s):  
High Sensitivity ◽  
Operating Conditions ◽  
Shop Floor ◽  
Machine Condition ◽  
Widespread Acceptance ◽  
On Line ◽  
Effective Assessment ◽  
Maintenance Personnel ◽  
Ae Signals ◽  
Illustrative Application

The use of AE by maintenance personnel for monitoring the condition of rotating machinery on the industrial shop floor is now well established and provides both a quick and effective assessment. Despite early resistance, especially by those accustomed to vibration based monitoring, it now enjoys a widespread acceptance. The development of signal processing routines and instrumentation specifically for the condition monitoring role has been a major factor in this achievement. Experience has shown that as a portable instrument AE can be very quickly applied and give instant indications of machine condition with high sensitivity to fault conditions. Appropriately pre-processed AE signals are particularly useful for on-line monitoring since the fault indications are in general less affected by changes in operating conditions than vibration based techniques as well as being far simpler to interpret. This is especially important where many machines are being simultaneously monitored. This paper discusses the accompanying developments and presents illustrative application examples.

scholarly journals Smart Monitoring for Compressor Stations

1992 ◽  
Author(s):  
Thomas Van Hardeveld
Keyword(s):  
Relevant Information ◽  
General Term ◽  
Operating Conditions ◽  
Remote Access ◽  
Conceptual Approach ◽  
Operational Effectiveness ◽  
On Line ◽  
High Level ◽  
Maintenance Personnel ◽  
Intelligent Diagnostics

A major remaining way to improve operational effectiveness for compressor stations is by the combination of on-line monitoring and enhanced diagnostics which can be described by the general term ‘smart monitoring’. The introduction of smart monitoring techniques will allow unattended operation of equipment to a greater extent than has been possible so far with remote access to the monitoring and diagnostic information from remote field, maintenance, and gas control locations. On-site attendance by operating and maintenance personnel can then be limited to responding to unscheduled events and for doing routine and scheduled maintenance. The role of enhanced diagnostics in this context is to anticipate undesirable operating conditions (and possibly mitigate or avoid them by certain control actions), to obtain earlier prediction of equipment deterioration or potential failures, to carry out a detailed analysis of unscheduled events and shutdowns, and to enable a high level of on-condition maintenance. The function of the intelligent diagnostics is to convert monitoring data, which can be voluminous with online monitoring, into a reduced subset of relevant information which is needed to make decisions. In this paper, a conceptual approach to smart monitoring is described and initial results of an on-site prototype are presented. Future implementation issues are also discussed.

Validation of On-line Respiration Meter and its Applications by Computer Simulation

1992 ◽  
Vol 26 (5-6) ◽  
pp. 1355-1363 ◽  
Author(s):  
C-W. Kim ◽  
H. Spanjers ◽  
A. Klapwijk
Keyword(s):  
Steady State ◽  
Activated Sludge ◽  
Respiration Rate ◽  
Oxygen Demand ◽  
Operating Conditions ◽  
Mass Balances ◽  
Short Term ◽  
Respiration Rates ◽  
On Line ◽  
Made In

An on-line respiration meter is presented to monitor three types of respiration rates of activated sludge and to calculate effluent and influent short term biochemical oxygen demand (BODst) in the continuous activated sludge process. This work is to verify if the calculated BODst is reliable and the assumptions made in the course of developing the proposed procedure were acceptable. A mathematical model and a dynamic simulation program are written for an activated sludge model plant along with the respiration meter based on mass balances of BODst and DO. The simulation results show that the three types of respiration rate reach steady state within 15 minutes under reasonable operating conditions. As long as the respiration rate reaches steady state the proposed procedure calculates the respiration rate that is equal to the simulated. Under constant and dynamic BODst loading, the proposed procedure is capable of calculating the effluent and influent BODst with reasonable accuracy.

scholarly journals Optimal Tuner Selection for Kalman Filter-Based Aircraft Engine Performance Estimation

2009 ◽  
Vol 132 (3) ◽  
Author(s):  
Donald L. Simon ◽  
Sanjay Garg
Keyword(s):  
Kalman Filter ◽  
Estimation Error ◽  
Engine Performance ◽  
Aircraft Engine ◽  
Operating Conditions ◽  
Performance Estimation ◽  
Experimental Simulation ◽  
Tuning Parameter ◽  
Estimation Accuracy ◽  
On Line

A linear point design methodology for minimizing the error in on-line Kalman filter-based aircraft engine performance estimation applications is presented. This technique specifically addresses the underdetermined estimation problem, where there are more unknown parameters than available sensor measurements. A systematic approach is applied to produce a model tuning parameter vector of appropriate dimension to enable estimation by a Kalman filter, while minimizing the estimation error in the parameters of interest. Tuning parameter selection is performed using a multivariable iterative search routine that seeks to minimize the theoretical mean-squared estimation error. This paper derives theoretical Kalman filter estimation error bias and variance values at steady-state operating conditions, and presents the tuner selection routine applied to minimize these values. Results from the application of the technique to an aircraft engine simulation are presented and compared with the conventional approach of tuner selection. Experimental simulation results are found to be in agreement with theoretical predictions. The new methodology is shown to yield a significant improvement in on-line engine performance estimation accuracy.

Process Safety for Sustainable Applications

2021 ◽  
pp. 2150033
Author(s):  
Alexander Stolar ◽  
Anton Friedl
Keyword(s):  
Risk Management ◽  
Operating Conditions ◽  
Process Safety ◽  
Implementation Effort ◽  
Wide Range ◽  
System Improvement ◽  
Management Techniques ◽  
Universal Applicability ◽  
Abnormal Operating Conditions ◽  
Business Sectors

Process safety techniques have been used in industry for decades to make processes and systems safer and to optimize them, and thus to improve sustainability. Their main aim is to prevent damage to people, equipment and the environment. In this overview, process safety and risk management techniques are shown that can be applied in the different life cycle phases of an application without much implementation effort. A broad and universal applicability in a wide range of business sectors is set as the main focus. In addition to the application of system improvement techniques, a number of additional considerations, such as maintenance and the consideration of abnormal operating conditions, are included in order to be able to comprehensively improve a system or application.

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