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JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN
Article . 2000 . Peer-reviewed
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Abnormal Condition Diagnosis by Observation of Torsional Angles of Crank Shaft

クランク軸ねじれ角度の常時監視による異常診断技術
Authors: Toshirou Shimizu; Mamoru Matsuno; Takaaki Shimizu;

Abnormal Condition Diagnosis by Observation of Torsional Angles of Crank Shaft

Abstract

The common theme of Shipping industry is to detect abnormal condition of the diesel engine in an early stage and to prevent it from vital accidents for increasing the Safety and the Operation rate of the ship. Although various abnomal condition diagnosis devices have been developed up to the present, in all cases, temperatures and pressures of various parts of the engine are detected and engine performance is estimated and the abnormal condition diagnosis is performed by the Artificial intelligence (A1), Therefore, the accuracy of abnomal condition diagnosis is not always satisfactory. For the analysis of egine operating performance, the combustion analysis system, etc., have also been developed Howerver, at present, these systems are not fit for actual circumstance from the point of view of sensor's durability, etc.In case of the diesel engine as Gas pressure in cylinder will act on the crankshaft via the piston and connecting rod and is converted into Torque. In this paper, the author would like to introduce way of the abnormal condition diagnosis which by the observation of Torque fluctuations (Torsion angles) of the crankshaft. We put a detecting device for the crankshaft torsion angles to the test, and validated that approach.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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