Bulletin of the Marine Engineering Society in Japan最新文献

Statistical Study on Reliability of Ship Equipment and Safety Management -Reliability Estimation for Failures on Main Engine System by Ship Reliability Database System- 船舶设备可靠性与安全管理的统计研究——基于船舶可靠性数据库系统的主机系统故障可靠性评估

Bulletin of the Marine Engineering Society in Japan Pub Date : 2001-10-01 DOI: 10.5988/JIME.36.40

N. Kiriya

{"title":"Statistical Study on Reliability of Ship Equipment and Safety Management -Reliability Estimation for Failures on Main Engine System by Ship Reliability Database System-","authors":"N. Kiriya","doi":"10.5988/JIME.36.40","DOIUrl":"https://doi.org/10.5988/JIME.36.40","url":null,"abstract":"In Japan, The SRIC third generation database system has become a useful system which includes over 114000 field data about the failure of ship equipment passing the long time investigation. This database system has never been carried out in other countries. And the SRIC is a relational database system constructed using a number of data tables and having many useful functions. It has become clear that the average failure rate of the whole of ship equipment was 7.2 [case/1000hr.] and the work for the repair was 5.0 [man*hr.] through statistical analysis by the SRIC. And, it is noticed that the failure ratio of miscellaneous equipment is about 43 [%]. The average failure ratio is changing at the same level. However, the work for the repair has been increasing from the middle of the 1990s. The actual conditions for the reliability of the ship equipment gradually became clear in this study, but a long term approach of the raise in reliability is necessary in the present time and the future. This paper reports the latest results of statistical analysis and multivariate analysis of the main engine system by using the information of the SRIC. As a result of cluster analysis, the reliability of the main engine system and its characteristics became clear.","PeriodicalId":256641,"journal":{"name":"Bulletin of the Marine Engineering Society in Japan","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132706247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Study on the Operational Results of a Marine Diesel Engine Using Water Emulsified Fuel from the Marine Engineer's Aspect 从轮机工程师的角度对船用柴油机使用水乳化燃料的效果进行研究

Bulletin of the Marine Engineering Society in Japan Pub Date : 2001-02-15 DOI: 10.5988/JIME1966.35.38

Satoshi Yamamoto, Itirou Kanda

引用次数: 1

Dynamic Characteristic of a Two-Stroke Slow Speed Diesel Engine with De-NOx System 带脱硝系统的二冲程低速柴油机动态特性研究

Bulletin of the Marine Engineering Society in Japan Pub Date : 2000-02-15 DOI: 10.5988/JIME1966.34.41

O. Motomura, K. Maeda, J. Kondo, K. Tatsumi, M. Okabe, Y. Oda

引用次数: 1

Fundamental Study on Total Electronic Control System for Marine Engines 船用发动机全电控系统的基础研究

Bulletin of the Marine Engineering Society in Japan Pub Date : 2000-02-15 DOI: 10.5988/JIME1966.34.419

M. Nakashima, T. Takaishi, K. Tayama, K. Takasaki, Y. Nagae, H. Ishida

引用次数: 0

NOx Emission Characteristics of Large Bore 2 Stroke Diesel Engines in Area of Layout Diagram 大缸径二冲程柴油机布置图区域内NOx排放特性

Bulletin of the Marine Engineering Society in Japan Pub Date : 2000-02-15 DOI: 10.5988/jime1966.34.243

Youichi Nakamura, T. Tokuoka, Y. Sakai, N. Nakayama

引用次数: 2

Diagnostic Method for 2-Stroke Cycle Diesel Engine* by Measurement of Vibration on Cylinder-Jacket -Observation of Change in Normal Vibration Pattern- 二冲程循环柴油机气缸套振动测量诊断方法。正常振动模式变化的观察

Bulletin of the Marine Engineering Society in Japan Pub Date : 1999-10-01 DOI: 10.5988/jime1966.33.738

R. Kimura, Wataru Terashima, N. Nakai, T. Yamada, Shouji Takeda

{"title":"Diagnostic Method for 2-Stroke Cycle Diesel Engine* by Measurement of Vibration on Cylinder-Jacket -Observation of Change in Normal Vibration Pattern-","authors":"R. Kimura, Wataru Terashima, N. Nakai, T. Yamada, Shouji Takeda","doi":"10.5988/jime1966.33.738","DOIUrl":"https://doi.org/10.5988/jime1966.33.738","url":null,"abstract":"It is necessary to arrange the system to monitor the operational condition by various methods to achieve the safe operation of the engine. Based on the idea that the information on the engine condition can be obtained from its vibration signal, this paper carries out the experiment of the diesel engine of the actual ship. The vibration was measured for a long time (7800 hours) by means of a vibration sensor on the cylinder jacket. The hand touch can not recognize the time change of the vibration, but the three-dimensional expression of the vibration data through the frequency analysis allows the good understanding of the change of the vibration. The vibration is always changing if the vibration is observed on the long running hours of engine basis even in the stationary operation (engine revolution: 103 rpm) of the diesel engine. We executed the statistical analysis as one method to estimate the condition of engine by the information from the vibration. All the data of vibration was recorded on a normal engine condition, as a result we could not examine on an abnormal engine condition. Thus, the vibration data of low engine revolution (30 rpm) was used as the data of abnormal condition in this analysis. As the result of the analysis, it is found that the abnormal can be recognized from the above-mentioned engine condition. We succeeded to make the statistical model which can diagnose an engine condition.","PeriodicalId":256641,"journal":{"name":"Bulletin of the Marine Engineering Society in Japan","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124711381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Investigation Results for Combustion Residue of Marine Diesel Engines 船用柴油机燃烧残渣研究结果

Bulletin of the Marine Engineering Society in Japan Pub Date : 1999-02-15 DOI: 10.5988/jime1966.33.40

Toshikazu Takase, M. Yamawaki, Mitsuo Takahashi, Takaaki Inoue, Kiyomasa Shinbori, Y. Kon, H. Oida

引用次数: 2

CO_2 Recovery from Diesel Engines in a Solar-Hydrogen-Methanol Energy System 太阳能-氢-甲醇能源系统中柴油机CO_2的回收

Bulletin of the Marine Engineering Society in Japan Pub Date : 1999-02-15 DOI: 10.5988/jime1966.33.14

K. Hiraoka, M. Ikame, S. Kan, T. Kumakura

引用次数: 0

Improvement of Initial Break-in Condition of Spray Coated Ceramics for Marine Diesel Engine 船用柴油机喷涂陶瓷初磨合条件的改善

Bulletin of the Marine Engineering Society in Japan Pub Date : 1998-10-01 DOI: 10.5988/jime1966.32.904

Tatsuhiro Jibiki, Masaki Tanaka, T. Fujiwara, Masujiro Hisatani

引用次数: 0

Abnormal Sound Detection by Neural Network in the Diesel Engine 柴油机异常声的神经网络检测

Bulletin of the Marine Engineering Society in Japan Pub Date : 1998-02-15 DOI: 10.5988/JIME1966.32.206

R. Kimura, N. Nakai, T. Kishimoto

{"title":"Abnormal Sound Detection by Neural Network in the Diesel Engine","authors":"R. Kimura, N. Nakai, T. Kishimoto","doi":"10.5988/JIME1966.32.206","DOIUrl":"https://doi.org/10.5988/JIME1966.32.206","url":null,"abstract":"This paper describes the method to detect the abnormal engine condition by means of an algorithm of the neural network, which is modeled upon information processing capability of the operater.The 4-cycle diesel engine is used in this experimental study. As for kinds of engine abnormalities, the leak of the gas from the exhaust pipe and the abnormal combustion depending on F.O. cut are taken as an example.The neural network is composed of the units and the weights which link between units. When the engine is operated by the normal condition, the spectrum data of the radiation sounds from the engine are put in the input layer in the neural network. By learning those data, the weights are formed between units. We judge whether the engine is the normal condigion by using this neural network. Under the normal condition, the correct recognition rate is almost 80% or over both the exhaust leak experiment and the fuel cut experiment. On the other, in case of the abnormal condition, the correct recognition rate is 20% or less in two kinds of experiments. For the results mentioned above, this method using the neural network could satisfactory detect two kinds of abnormal condition.","PeriodicalId":256641,"journal":{"name":"Bulletin of the Marine Engineering Society in Japan","volume":"2589 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2