检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

17 篇 会议
1 篇 期刊文献

馆藏范围

18 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

15 篇 工学
- 10 篇 机械工程
- 5 篇 化学工程与技术
- 4 篇 仪器科学与技术
- 4 篇 计算机科学与技术...
- 3 篇 力学（可授工学、理...
- 3 篇 信息与通信工程
- 3 篇 软件工程
- 2 篇 控制科学与工程
- 2 篇 建筑学
- 1 篇 材料科学与工程（可...
- 1 篇 冶金工程
- 1 篇 土木工程
- 1 篇 交通运输工程
- 1 篇 安全科学与工程
7 篇 理学
- 5 篇 化学
- 3 篇 物理学
- 2 篇 数学
- 1 篇 统计学（可授理学、...
5 篇 管理学
- 5 篇 管理科学与工程(可...
- 2 篇 工商管理

主题

8 篇 condition monito...
4 篇 vibration analys...
3 篇 cavitation
1 篇 imaging phantoms
1 篇 water turbine
1 篇 frequency conver...
1 篇 hospitals
1 篇 higher order der...
1 篇 surges
1 篇 neurosurgery
1 篇 acceleration
1 篇 navigation
1 篇 feature extracti...
1 篇 manufacturing
1 篇 protocols
1 篇 data transfer
1 篇 calibration
1 篇 optical sensors
1 篇 surgery

机构

7 篇 department of me...
4 篇 department of pr...
3 篇 mechatronics and...
2 篇 oy skf ab p.o.bo...
2 篇 control engineer...
2 篇 department of me...
1 篇 mechatronics and...
1 篇 control engineer...
1 篇 control engineer...
1 篇 department of me...
1 篇 department of me...
1 篇 university of ou...
1 篇 mechatronics and...
1 篇 mechatronics and...
1 篇 mechatronics and...
1 篇 vtt'technical re...
1 篇 otto-von-guerick...
1 篇 department of ne...
1 篇 mechatronics and...
1 篇 control engineer...

作者

15 篇 lahdelma sulo
8 篇 juuso esko
4 篇 laurila jouni
2 篇 karioja konsta
2 篇 mikkonen henry
1 篇 heikkilä rauno
1 篇 jani katisko
1 篇 ahola jero
1 篇 sulo lahdelma
1 篇 kalervo nevala
1 篇 john koivukangas
1 篇 nevala kalervo
1 篇 immonen jussi
1 篇 strackeljan jens
1 篇 scháfer timo
1 篇 hovila jani
1 篇 ahola jari m.
1 篇 yrjo louhisalmi
1 篇 tapani koivukang...
1 篇 esko k. juuso

语言

18 篇 英文

检索条件"机构=Mechatronics and Machine Diagnostics Laboratory"

共 18 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Applying acceleration and strain signals for the stress evaluation of a steel cutter

Applying acceleration and strain signals for the stress eval...

引用

10th International Conference on Condition Monitoring, CM 2013 and machinery Failure Prevention Technologies 2013, MFPT 2013

作者： Karioja, Konsta Lahdelma, Sulo Department of Mechanical Engineering Mechatronics and Machine Diagnostics Laboratory P.O.Box 4200 FI-90014-University-of-Oulu Finland

ISBN: (纸本)9781629939926

Mechanical cutting is an old, effective method for steel cutting. The variety of steels available in the market has changed considerably over the last few years, and new demands for mechanical cutting have been set. The shearing force is of course a very important factor in the stress evaluation of a cutter, but also vibrations should be considered. This paper discusses the evaluation of stress in steel cutters by means of strain and acceleration signals. It also investigates the possibility of detecting different types of stress by using real order derivatives and their weighted lp norms. The MIT measurement index is utilised in order to determine stress levels. It is also discussed whether a strain gauge or an accelerometer alone is sufficient in this case if signal processing is performed in a suitable way.

关键词： Acceleration

来源：评论

学校读者我要写书评

暂无评论

Condition monitoring by means of vibration and sound measurements

Condition monitoring by means of vibration and sound measure...

引用

10th International Conference on Condition Monitoring, CM 2013 and machinery Failure Prevention Technologies 2013, MFPT 2013

作者： Laurila, Jouni Lahdelma, Sulo Department of Mechanical Engineering Mechatronics and Machine Diagnostics Laboratory P.O.Box 4200 FI-90014-University-of-Oulu Finland

ISBN: (纸本)9781629939926

Reliable machine condition monitoring and the early detection of faults play an important role in asset management. Information on the condition of machines in a clear, simple form is very valuable for the maintenance and management personnel of the company. This kind of information can be obtained by combining features of vibration signals and the desired number of features from other physical measurements into a dimensionless MIT index. The resulting value gives us information on the condition of the machine. The inverse of MIT index is called the SOL health index. This paper presents the results of investigations concerning the detection of many simultaneous faults using vibration and sound measurements. The signals measured have been processed using real order derivation, and effective features have been calculated from these signals. Based on these features, MIT indices have been calculated, which reliably shows if there are problems with the condition of the machine.

关键词： Vibration analysis

来源：评论

学校读者我要写书评

暂无评论

Operator involvement improves the performance of a condition monitoring programme

Operator involvement improves the performance of a condition...

引用

10th International Conference on Condition Monitoring, CM 2013 and machinery Failure Prevention Technologies 2013, MFPT 2013

作者： Mikkonen, Henry Lahdelma, Sulo Oy SKF Ab P.O.Box 80 FI-40951 Muurame Finland Department of Mechanical Engineering Mechatronics and Machine Diagnostics Laboratory P.O.Box 4200 FI-90014-University-of-Oulu Finland

ISBN: (纸本)9781629939926

Industrial condition monitoring is typically performed by experts working in a maintenance organisation. Especially in the process industry the roles of the maintenance personnel and operators are highly separated, which in many cases lead to communication discrepancies that can impair the efficiency of the condition monitoring programme. Concepts such as TPM and its close relative LEAN emphasise the need for operator involvement in maintenance (1, 2). Regardless of the efforts, the concepts of operator maintenance or Autonomous Maintenance (AM) have not become widely accepted in the process industry. By combining operators' daily machinery checks and condition monitoring, it is possible to create a natural communication channel between operators and condition monitoring experts for improved efficiency. The approach known as Operator Driven Reliability (ODR) utilises modern portable technology to enable operators to check and record machinery data as an integral part of their daily operator rounds (3). This includes visual machinery checks but also some relatively simple vibration and temperature measurements. The data are collected and stored in a database that can be accessed both by operators and the maintenance personnel. It is important to understand that technology is just an enabler for creating systematic and effective work processes. Therefore, it is vital that operator checks are carefully planned in order to support the effectiveness of production and maintenance.

关键词： Condition monitoring

来源：评论

学校读者我要写书评

暂无评论

Advanced condition monitoring of epicyclic gearboxes

Advanced condition monitoring of epicyclic gearboxes

引用

10th International Conference on Condition Monitoring, CM 2013 and machinery Failure Prevention Technologies 2013, MFPT 2013

作者： Lahdelma, Sulo Juuso, Esko Immonen, Jussi Department of Mechanical Engineering Mechatronics and Machine Diagnostics Laboratory P.O.Box 4200 FI-90014-University-of-Oulu Finland Department of Process and Environmental Engineering Control Engineering Laboratory P.O.Box 4300 FI-90014-University-of-Oulu Finland

ISBN: (纸本)9781629939926

Epicyclic gearing or planetary gearing is a gear system that consists of one or more outer gears, or planet gears, revolving around a central, or sun gear. Typically, the planet gears are mounted on a movable arm or carrier, which itself may rotate relative to the sun gear. The complex structure consisting of many rolling elements and versatile components results in a long stoppage if a failure occurs. Therefore, it is important to detect incipient faults at an early stage. In this paper, vibration analysis is used for the condition monitoring of an epicyclic gearbox at a water power station. Because of the quite high rotational speed of the output, acceleration and its higher order derivatives should be used in order to obtain good responsiveness to changes in the conditions. Complex models based on mechanisms are needed in order to calculate the vibration components in the frequency range and to identify the possible faulty components. There was also one vibration component in the gear the source of which could not be discovered with certainty. A combined signal processing and feature extraction approach based on generalised moments and norms provides efficient indicators for condition monitoring. The features defined by the order of derivation, the order of the norm and the sample time are used in dimensionless indices, which are calculated by dividing the feature value with a reference value corresponding to the normal operation. The indices are calculated for different real order derivatives and weighted lp norms to form S-surfaces, which are used in selecting suitable orders.

关键词： Condition monitoring

来源：评论

学校读者我要写书评

暂无评论

Detection of multiple faults with intelligent condition indices

Detection of multiple faults with intelligent condition indi...

引用

10th International Conference on Condition Monitoring, CM 2013 and machinery Failure Prevention Technologies 2013, MFPT 2013

作者： Juuso, Esko Lahdelma, Sulo Department of Process and Environmental Engineering Control Engineering Laboratory P.O.Box 4300 FI-90014-University-of-Oulu Finland Department of Mechanical Engineering Mechatronics and Machine Diagnostics Laboratory P.O.Box 4200 FI-90014-University-of-Oulu Finland

ISBN: (纸本)9781629939926

Automatic fault detection with condition indices enables reliable condition monitoring to be combined with process control. Useful information on different faults can be obtained by selecting suitable features from generalised norms, which are defined by the order of derivation, the order of the norm and sample time. The nonlinear scaling based on generalised norms and skewness extends the idea of dimensionless indices to nonlinear systems and provides good results for the automatic generation of condition indices. Condition indices, which are used in the same way as the process measurements in process control, detect differences between normal and faulty conditions and provide an indication of the severity of the faults. Feature specific health indices, which are calculated as ratios of feature values in the reference condition and the faulty case, are used in selecting efficient features. In the multisensor vibration analysis, the number of sensors and features were drastically reduced. The number of features is further reduced by optimal orders for the derivatives and norms. The complexity of the models is simultaneously reduced. For the supporting rolls of a lime kiln, an efficient indication of faulty situations is achieved with two features. All the rolls can be analysed with the same approach throughout the data set. The results of both the applications are consistent with the vibration severity criteria: good, usable, still acceptable, and not acceptable. Three standard deviations obtained for the signal x (4) on three frequency ranges were needed to detect unbalance and bearing faults. The norms based on the signal x(4) provide the best results in all the frequency ranges.

关键词： Condition monitoring

来源：评论

学校读者我要写书评

暂无评论

Detecting misalignment of a claw clutch using vibration measurements

Detecting misalignment of a claw clutch using vibration meas...

引用

9th International Conference on Condition Monitoring and machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012

作者： Lahdelma, Sulo Laurila, Jouni Department of Mechanical Engineering Mechatronics and Machine Diagnostics Laboratory P.O. Box 4200 FI-90014-University-of-Oulu Finland

ISBN: (纸本)9781622764334

Coupling misalignment is a fairly common fault in rotating machines and causes excessive loads to bearings and other machine components. In general, misalignment and its severity can be detected reliably using vibration measurements. Misalignment is typically detected on the basis of the velocity spectrum. An increase in amplitude at rotational frequency and its harmonics are an indication of misalignment or a bent shaft. However, the behaviour of a claw clutch (jaw coupling) is very different as compared with a conventional elastic coupling. This paper presents the results of research where the detection of claw clutch misalignment is investigated based on acceleration signals. Real order derivatives and lp norms are calculated from the signals. In a test rig, which is used in this study, different degrees of misalignment are generated by moving a motor in the horizontal direction with steps of 0.1 mm. The tests were carried out at five rotational frequencies. Studies show that after a certain level of misalignment, the claw clutch gives rise to impacts that induce high frequency vibrations.

关键词： Condition monitoring

来源：评论

学校读者我要写书评

暂无评论

Practical considerations on selecting assets for condition monitoring

Practical considerations on selecting assets for condition m...

引用

9th International Conference on Condition Monitoring and machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012

作者： Mikkonen, Henry Lahdelma, Sulo Oy SKF Ab P.O.Box 80 FI-40951 Muurame Finland Mechatronics and Machine Diagnostics Laboratory Department of Mechanical Engineering P.O.Box 4200 FI-90014-University-of-Oulu Finland

ISBN: (纸本)9781622764334

It is a well-known fact that investment in condition monitoring is an effective way of improving the overall efficiency of assets in industry. However, regardless of recent developments in detection and analysis methods, condition monitoring is even today relatively expensive because it is labour-intensive and requires expert resources. Therefore, it is of major interest to industries to be able to define an optimum maintenance strategy for each piece of equipment. In practice, industries are looking for methodology to minimise the number of assets to be monitored, without having to compromise on their financial interests. Several effective methods have been developed for defining which are the assets that should be monitored and by what means. There are numerous documented cases in aviation and nuclear industry, for example, on how maintenance tasks, including condition monitoring, have been defined using risk analysis methods, Reliability-Centered Maintenance (RCM), etc. Even though all this is common knowledge and well documented, these processes are not common in typical process industry. The reason appears to be that most of the methods are very time-consuming and require special expertise, which entails high costs. Therefore, industry needs a relatively simple method for asset classification in order to focus on the right assets. The method has to provide reliable results and cover all critical machinery. In addition, it has to be simple so that it does not require extensive training or too much work. Furthermore, the method must have dynamic capabilities to ensure that changes can be incorporated. This paper discusses the practical aspects that limit the possibilities of industry to systematically utilise sophisticated methods as the basis of preparing the maintenance strategy. The paper also gives an overview of the concept to classify machinery, including the criticality analysis of assets combined with well-known classification methodologies.

关键词： Condition monitoring

来源：评论

学校读者我要写书评

暂无评论

Intelligent stress indices in fatigue detection

Intelligent stress indices in fatigue detection

引用

9th International Conference on Condition Monitoring and machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012

ISBN: (纸本)9781622764334

Fatigue is caused by repeated loading and unloading. The mechanism proceeds through cracks formed when the load exceeded certain thresholds. Structures fracture suddenly when a crack reaches a critical size. Intelligent stress indices based on nonlinear scaling provide good indicators of the severity of the load. The stress index Is is -2 when the stress in negligible, and levels {-1, 0, 1} are analogue to the lower limits of the vibration severity ranges {usable, still acceptable, not acceptable} defined in the VDI 2056. The Wöhler curve is represented by a linguistic equation (LE) model, I S = log10 (NC), where the stress index can be a scaled value of stress or a scaled value of a generalised norm obtained from vibration signals. The scaling of the logarithmic values of the number of cycles is linear. As the LE model is nonlinear, it covers a wide operating range. The system may also contain several specific equations corresponding to different operating points, e.g. low, normal and high stress. The analysis of material fatigue can be based on existing Wöhler curves or on test results. For process equipment, the curves are gradually refined by the recursive tuning of the scaling functions. The contribution of the stress is calculated in each sample time, which is taken as a fraction of the cycle time. The previous history can be updated whenever the scaling functions are changed. The cumulative sum of the contributions indicates the deterioration of condition, and the simulated sums can be used to predict failure time. The high stress contributions dominate in the summation. The summation of the contributions also reveals repeated loading and unloading, and the individual contributions provide indications of the severity of the effect. The approach also works well when the load is complex, and random load can be handled with simulation.

关键词： Vibration analysis

来源：评论

学校读者我要写书评

暂无评论

Real order derivatives and generalised norms in condition monitoring with noisy data

Real order derivatives and generalised norms in condition mo...

引用

9th International Conference on Condition Monitoring and machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012

作者： Lahdelma, Sulo Juuso, Esko Laurila, Jouni Department of Mechanical Engineering Mechatronics and Machine Diagnostics Laboratory P.O.Box 4200 FI-90014-University-of-Oulu Finland Department of Process and Environmental Engineering Control Engineering Laboratory P.O.Box 4300 FI-90014-University-of-Oulu Finland

ISBN: (纸本)9781622764334

Rapid changes in acceleration become emphasised upon the derivation of the acceleration signal x(2) . Higher order derivatives work very well in the whole range from slowly to very fast rotating rolling bearings. Real order derivatives x(α) provide additional possibilities, and generalised norms with the real order p are used in feature extraction. The optimum setting of the orders α and p is fault-specific. Added random noise takes the form of additional fault, which in this case makes it more difficult to detect misalignment of a claw clutch by means of acceleration. Derivation reduces the effect of noise by amplifying the higher frequency components of misalignment more than the added noise components. Correspondingly, integration amplifies the lower frequency components. The analysis is fine-tuned with generalised norms. Added noise changes the optimal setting of the orders α and p: high order α combined with high order p operates well in misalignment detection, and negative order α combined with low order p has good sensitivity for detecting unbalance. The results clearly show that an extended analysis with a wide range of orders α and p is needed for the detection of simultaneous faults in order to obtain the best sensitivity for specific faults, also if the measurements are noisy. The power of generalised norms is in selecting the amplified frequency ranges by the order of derivation and in fine-tuning the sensitivity with the order of moment.

关键词： Condition monitoring

来源：评论

学校读者我要写书评

暂无评论

Distortion in acoustic emission and acceleration signals caused by frequency converters

Distortion in acoustic emission and acceleration signals cau...

引用

9th International Conference on Condition Monitoring and machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012

作者： Lahdelma, Sulo Karioja, Konsta Laurila, Jouni Ahola, Jero Department of Mechanical Engineering Mechatronics and Machine Diagnostics Laboratory P.O. Box 4200 FI-90014-University-of-Oulu Finland Department of Electrical Engineering Faculty of Technology Lappeenranta University of Technology P.O. Box 20 FI-53851 Lappeenranta Finland

ISBN: (纸本)9781622764334

Acquiring signals without disturbance is a crucial part of condition monitoring. This paper discusses some observations concerning disturbance in signals caused by two different frequency converters when measuring acoustic emission and acceleration. Signals are acquired by means of two acoustic emission and acceleration sensors. The test rig includes an electric motor and a worm gear. Measurements are performed when the motor is driven by a frequency converter at 594 and 1494 rpm. The results are compared to the motor connected directly to the power line. In acoustic emission signals one frequency converter caused a repeating peak in the spectrum at intervals of 40 kHz. The other frequency converter produced a general rise in amplitudes from about 200 to 400 kHz. When measuring acceleration in the frequency range 0...30 kHz the signals show no significant distortion.

关键词： Frequency converters

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共2页 << < 1 2 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：