WO2020151390A1 - 一种基于Dspace的船舶岸电系统故障诊断平台 - Google Patents

一种基于Dspace的船舶岸电系统故障诊断平台 Download PDF

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WO2020151390A1
WO2020151390A1 PCT/CN2019/124776 CN2019124776W WO2020151390A1 WO 2020151390 A1 WO2020151390 A1 WO 2020151390A1 CN 2019124776 W CN2019124776 W CN 2019124776W WO 2020151390 A1 WO2020151390 A1 WO 2020151390A1
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dspace
power system
shore power
fault diagnosis
real
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French (fr)
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杨奕飞
何祖军
苏贞
吴百公
许静
聂成
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Jiangsu University of Science and Technology
Marine Equipment and Technology Institute Jiangsu University of Science and Technology
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Jiangsu University of Science and Technology
Marine Equipment and Technology Institute Jiangsu University of Science and Technology
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08—Locating faults in cables, transmission lines, or networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring

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  • the invention relates to the field of fault diagnosis of shore power system equipment, in particular to a Dspace-based ship shore power system fault diagnosis platform.
  • the method of using land power to supply power to ships at the port is called “shore power technology”.
  • shore power technology The method of using land power to supply power to ships at the port.
  • all ship diesel power stations are stopped, and the ship’s electricity is changed to shore power to reduce pollution in the port area. Emissions.
  • the European Union proposed and passed the bill 2006/339/EC on the use of shore power for ships moored in various sea ports within the EU. It is recommended that member states propose preferential policies for the use of shore power and jointly formulate international standards for shore power. , Mutual exchange of experience on power supply from shore power to seaports, and vigorously promote the use of shore power.
  • the traditional troubleshooting methods are expensive, the workload is huge, and the accuracy of diagnosis cannot be guaranteed.
  • the traditional planned maintenance is for a considerable number of power equipment
  • the maintenance process requires a high cost, the maintenance workload is large, and it is prone to insufficient or excessive maintenance.
  • the technical problem to be solved by the present invention is to provide a Dspace-based marine shore power system fault diagnosis platform with high accuracy and rapid response.
  • the technical solution of the present invention is: a Dspace-based fault diagnosis platform for marine shore power system, and its innovations are:
  • a shore power system unit used to provide historical data and real-time data for a fault diagnosis platform, the shore power system unit including an AC power supply, a transformer, a frequency converter, a filter device, a power compensation device, a grid-connected device, and a circuit breaker;
  • a Dspace unit the Dspace unit includes a Dspace MircoLabBox real-time controller, the Dspace MircoLabBox real-time controller has an output interface and an input interface, wherein the input interface is connected to the shore power system unit, and the Dspace MircoLabBox real-time controller is used for
  • the communication module that collects the information of the shore power system unit, and the control module used to control the shore power system unit;
  • a Simulink unit includes a fault diagnosis algorithm module for diagnosing whether each device in the shore power system unit fails and what type of failure occurs, and is used to classify the history of each device in the shore power system unit according to characteristic components
  • the data is internally stored in the database module, which is used to display the results obtained by the fault diagnosis algorithm module in text form.
  • the result display module is used to send the real-time data collected by the Dspace MircoLabBox real-time controller to the input interface of the fault diagnosis algorithm module ,
  • the input interface is connected with the output interface of the Dspace MircoLabBox real-time controller.
  • the fault diagnosis algorithm module adopts a support vector machine.
  • the result display module is the main interface of Matlab.
  • the input interface and output interface of the Dspace MircoLabBox real-time controller and the input interface of the Simulink unit all adopt the interface belonging to MricoLabBox.
  • the advantages of the present invention are: as a highly integrated intelligent fault diagnosis platform, the platform of the present invention effectively solves the high maintenance cost caused by the huge amount of equipment in the traditional maintenance method, the workload is large, and the equipment status cannot be fed back in real time. Shortcomings; real-time monitoring of the working status of power equipment in the entire shore power system through data collection and algorithm prediction, greatly shortening the time required for maintenance, saving labor costs, and avoiding unnecessary waste of resources.
  • This platform takes Dspace as the core, and imports the fault diagnosis algorithm written by Simulink and the real-time data provided by the shore power system into Dspace. Finally, the diagnosis results are intuitively and clearly fed back to the computer screen through Simulink.
  • the Dspace-based controller system can Convenient and quick to modify the diagnosis strategy, which can more comprehensively test, modify and improve the fault diagnosis of the ship's shore power system. At the same time, it is connected with the physical object through Dspace, which simplifies the system structure and improves the stability of the system, and uses Dspace as control The device enables the system to have high scalability and portability.
  • Figure 1 is a schematic diagram of the Dspace-based fault diagnosis platform of the marine shore power system of the present invention.
  • FIG. 2 is a flowchart of the support vector machine algorithm in the present invention.
  • Figure 3 is a schematic diagram of the fault diagnosis of the frequency converter in the shore power system unit of the present invention.
  • a Dspace-based fault diagnosis platform for marine shore power system includes
  • a shore power system unit 13 used to provide historical data and real-time data for the fault diagnosis platform.
  • the shore power system unit 13 includes an AC power supply, a transformer, a frequency converter, a filter device, a power compensation device, a grid-connected device, and a circuit breaker.
  • a Dspace unit 12 connected to the shore power system unit 13 is used to send the data sampled in the physical system to Dspace.
  • the Dspace unit 12 includes a Dspace MircoLabBox real-time controller.
  • the Dspace MircoLabBox real-time controller has an output interface and an input The input interface is connected to the shore power system unit 13, and is used to send the sampling signal of the shore power system unit 13 to the Dspace MircoLabBox controller to prepare for processing and sending the data to the fault diagnosis classification model.
  • the output interface is used To process the data collected from the shore power system unit 13 and send it to the diagnostic algorithm part and the database part of the Simulink unit 11, the Dspace MircoLabBox real-time controller has a communication module for collecting information on the shore power system unit.
  • the control module that controls the shore power system unit.
  • a Simulink unit 11 connected to the Dspace unit 12 is used to write the code generated by the fault diagnosis algorithm in Simulink into the Dspace controller, and to send the collected data from the Dspace controller to the database part of Simulink.
  • Simulink unit 11 includes
  • the fault diagnosis algorithm module used to diagnose whether each device in the shore power system unit has a fault and what kind of fault has occurred.
  • the fault diagnosis algorithm module adopts Support Vector Machine (SVM).
  • SVM Support Vector Machine
  • the algorithm flow is shown in Figure 2.
  • Preprocess the historical data in the database first classify the data according to the characteristics of each device, normalize the classified data to [0,1], and use the processed data to train the SVM classifier.
  • the cross-validation method finds the optimal penalty parameter C and the kernel function parameter g, and finally obtains a suitable fault diagnosis model.
  • the data collected by the shore power system can be diagnosed in real time to determine whether it has a fault and the type of fault.
  • the database module used to internally store the historical data of each device in the shore power system unit according to the characteristic component classification.
  • the database module is the working space of Simulink unit 11, as the training set provides the basis for the SVM to obtain the classification model.
  • the real-time data sent by Dspace updates the database to ensure the accuracy of the diagnostic model.
  • the data includes: the inverter's DC bus voltage, three-phase output voltage, internal temperature, output frequency, three-phase current and three-phase time of the circuit breaker, The content of carbon dioxide, carbon monoxide, hydrogen and other gas components of the transformer, etc.
  • the result display module is used to display the results obtained by the fault diagnosis algorithm module in text form.
  • the result display module is the main interface of Matlab.
  • MricoLabBox provides 24 channels, 16-bit analog input channels, 16 channels, 16-bit analog output channels, and 48 channels of bidirectional digital IO. .
  • MicroLabBox is a high-performance compact low-cost system designed and developed by Dspace to be used in a laboratory environment. It can help users quickly and easily establish their own control, test and measurement environments to verify the practicability of control strategies. It is mainly used for the construction of hardware-in-the-loop semi-physical simulation system, which realizes seamless connection with Matlab/Simulink, so that Matlab users can easily master the use of MicroLabBox.
  • MicroLabBox has powerful computing power combined with extremely low I/O latency, providing excellent real-time performance.
  • Programmable FPGA has a high degree of flexibility, and can operate the control loop at high speed according to the needs of various applications, such as motor control or active noise and vibration reduction.
  • MicroLabBox is supported by the comprehensive Dspace software package, which includes the I/O integration (model-based) Real-Time Interface (RTI) and experimental software This allows access to real-time applications through graphical instruments during runtime.
  • I/O integration model-based
  • RTI Real-Time Interface
  • experimental software This allows access to real-time applications through graphical instruments during runtime.
  • RTW Real-Time-Workshop
  • Dspace such as ControlDesk, MLIB/MTRACE, etc.
  • A is the result judgment output terminal
  • B is the database output terminal
  • C is the data input terminal of the diagnostic algorithm
  • D is the data input terminal of the database
  • E is the digital input terminal of Dspace
  • F is the A/D module.
  • G is the analog input terminal of the A/D module
  • H is the analog output port of the inverter.
  • the diagnosis process of the inverter is as follows: First, the analog input port G of the inverter A/D module collects the DC bus voltage, three-phase output voltage, internal temperature, and output frequency from the analog output terminal H of the inverter, and converts them through A/D The analog signal is converted into a digital signal, and the digital output terminal F of the A/D module is sent to the bus input terminal of Dspace, and the data is sent from the Dspace bus output terminal E to the input terminal C of the fault diagnosis algorithm.
  • the fault diagnosis algorithm is output by the database Terminal B calls historical data to establish a fault diagnosis classification model for fault diagnosis of the inverter, and sends the diagnosis result from the result output terminal A to the result display part, showing that the inverter is in 1. normal, 2. rectifier bridge failure, 3. inverter Which one of the following is the status of failure, 4. filter capacitor failure, 5. low output frequency, 6. electromagnetic interference, 7. internal temperature is too high, and finally the data after the diagnosis is completed into the database from the database input D.
  • the Dspace-based marine shore power system fault diagnosis platform provided by this embodiment is a closed-loop system.
  • the fault diagnosis algorithm written by Simulink and the real-time data provided by the shore power system are imported into Dspace, and finally through Simulink intuitively Clearly feedback the diagnosis results on the computer screen.
  • the diagnosis strategy can be modified conveniently and quickly, and the fault diagnosis of the ship’s shore power system can be tested, modified and improved more comprehensively. At the same time, it can pass Dspace and the physical object.
  • the fault diagnosis system of this embodiment uses Simulink to write the core diagnosis algorithm, which has the characteristics of convenient and quick modification.
  • Dspace as the carrier for processing and collecting data has high scalability and portability, and the data provided by the shore power system is reliable With high performance and high real-time performance, the system greatly simplifies the problems of complex operation and low accuracy caused by complex equipment in the fault diagnosis of shore power system. It has very high value whether it is in practical application or in laboratory research. .
  • the marine shore power system fault diagnosis platform of this embodiment is based on the joint development of Dspace, Simulink and shore power system equipment.
  • Dspace as a diagnostic platform can quickly modify the algorithm, increase the flexibility and scalability of the system, and adopt shore power
  • the system equipment parts are connected with Dspace, which enhances the reliability and real-time performance of the system.
  • Dspace obtains sampling signals from real objects through the described communication function, and sends the data to the fault diagnosis system through the serial port, which simplifies the system structure and makes the system more stable.

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Abstract

一种基于Dspace的船舶岸电系统故障诊断平台，包括一岸电系统单元（13），所述岸电系统单元（13）包括交流电源、变压器、变频器、滤波装置、功率补偿装置、并网装置、断路器；一Dspace单元（12），所述Dspace单元（12）包括一Dspace MircoLabBox实时控制器，该Dspace MircoLabBox实时控制器具有一输出接口、一输入接口，其中，输入接口与岸电系统单元（13）相连；一Simulink单元（11），所述Simulink单元（11）包括故障诊断算法模块、数据库模块、结果显示模块、输入接口。该平台的优点在于：其作为一种高集成化的智能故障诊断平台，有效的解决了传统检修方法因设备数量巨大而造成的检修成本高昂，工作量大以及设备状态不能实时反馈的缺陷。

Description

一种基于Dspace的船舶岸电系统故障诊断平台 技术领域
本发明涉及岸电系统设备故障诊断领域，具体的说是一种基于Dspace的船舶岸电系统故障诊断平台。
背景技术
采用陆地电源对靠港船舶供电的方式称为“岸电技术”，船舶泊靠码头时，停止所有的船舶柴油机电站运转，将船舶用电改由岸电电源提供，以达到降低港区污染废气的排放量。2006年，欧盟提出并通过了在欧盟范围内各个海港码头停泊船舶要使用岸电供电的法案2006/339/EC，建议成员国提出对使用岸电的优惠政策，并一起制订岸电电源国际标准，相互之间应就海港岸电供电交流经验，大力推广使用岸电。
为了加强港口行业节能减排，全国海港码头中一半以上超万吨级泊位要提供岸电，推广靠港船舶使用岸电是各大港口节能减排重点工作之一。多年来，国内外很多学者试图采用先进的“电子式岸电电源装备”来彻底解决这个问题，但是如何提供稳定可靠的兆瓦级海港岸电电源装备一直是供电领域的一项重大技术难题和前沿技术。
在岸电系统中，由于岸电系统中存在数量巨大的电力设备，从而导致传统的故障检修方法成本高昂，工作量巨大并且诊断的准确性无法保证，传统的计划检修对于数量相当大的电力设备来说存在很多缺陷：检修过程需要费用很高，检修的工作量大，而且容易出现检修不 足或者检修过剩的现象。
发明内容
本发明要解决的技术问题是提供一种准确性高、反应迅速的基于Dspace的船舶岸电系统故障诊断平台。
为解决上述技术问题，本发明的技术方案为：一种基于Dspace的船舶岸电系统故障诊断平台，其创新点在于：包括
一用于为故障诊断平台提供历史数据及实时数据的岸电系统单元，所述岸电系统单元包括交流电源、变压器、变频器、滤波装置、功率补偿装置、并网装置、断路器；
一Dspace单元，所述Dspace单元包括一Dspace MircoLabBox实时控制器，该Dspace MircoLabBox实时控制器具有一输出接口、一输入接口，其中，输入接口与岸电系统单元相连，所述Dspace MircoLabBox实时控制器具有用于对岸电系统单元的信息进行采集的通讯模块，用于对岸电系统单元进行控制的控制模块；
一Simulink单元，所述Simulink单元包括用于诊断岸电系统单元内各设备是否发生故障及发生何种故障的故障诊断算法模块，用于对岸电系统单元中的各个设备按照特征分量分类完成的历史数据进行内部存储的数据库模块，用于将故障诊断算法模块得出的结果以文字形式显示的结果显示模块，用于将Dspace MircoLabBox实时控制器采集到的实时数据发送给故障诊断算法模块的输入接口，该输入接口与Dspace MircoLabBox实时控制器的输出接口相连。
进一步的，所述故障诊断算法模块采用支持向量机。
进一步的，所述结果显示模块为Matlab主界面。
进一步的，所述Dspace MircoLabBox实时控制器的输入接口、输出接口与Simulink单元的输入接口均采用MricoLabBox所属接口。
本发明的优点在于：本发明中的平台作为一种高集成化的智能故障诊断平台，有效的解决了传统检修方法因设备数量巨大而造成的检修成本高昂，工作量大以及设备状态不能实时反馈的缺陷；通过数据采集、算法预测的方式实时的监控整个岸电系统中电力设备的工作状态，极大的缩短检修所需的时间、节省人力成本、避免了不必要的资源浪费。
本平台以Dspace为核心，将由Simulink编写的故障诊断算法以及由岸电系统提供的实时数据导入Dspace中，最后经由Simulink直观明了的将诊断结果反馈在计算机屏幕上，基于Dspace的控制器系统，可以方便快捷的修改诊断策略，能够更加全面的对船舶岸电系统的故障诊断进行测试、修改和完善，同时通过Dspace与实物连接，简化了系统结构，提高了系统的稳定性，且通过Dspace作为控制器使系统具备较高的可扩展性和可移植性。
附图说明
下面结合附图和具体实施方式对本发明作进一步详细的说明。
图1为本发明的基于Dspace的船舶岸电系统故障诊断平台的原理图。
图2为本发明中支持向量机算法流程图。
图3为本发明岸电系统单元中的变频器故障诊断原理图。
具体实施方式
下面的实施例可以使本专业的技术人员更全面地理解本发明，但并不因此将本发明限制在所述的实施例范围之中。
如图1-图3所示的一种基于Dspace的船舶岸电系统故障诊断平台，包括
一用于为故障诊断平台提供历史数据及实时数据的岸电系统单元13，岸电系统单元13包括交流电源、变压器、变频器、滤波装置、功率补偿装置、并网装置、断路器。
一与岸电系统单元13相连的Dspace单元12，用于将实物系统中采样得到的数据发送给Dspace，Dspace单元12包括一Dspace MircoLabBox实时控制器，该Dspace MircoLabBox实时控制器具有一输出接口、一输入接口，其中，输入接口与岸电系统单元13相连，用于将岸电系统单元13的采样信号发送给Dspace MircoLabBox控制器，为将数据进行处理并发送给故障诊断分类模型做准备，输出接口用于将由岸电系统单元13中采集到的数据进行处理并发送给Simulink单元11中的诊断算法部分和数据库部分，Dspace MircoLabBox实时控制器具有用于对岸电系统单元的信息进行采集的通讯模块，用于对岸电系统单元进行控制的控制模块。
一与Dspace单元12相连的Simulink单元11，用于将Simulink中的故障诊断算法生成代码写入Dspace控制器，以及将采集到的数据从Dspace控制器中发送到Simulink中的数据库部分。
Simulink单元11包括
用于诊断岸电系统单元内各设备是否发生故障及发生何种故障的故障诊断算法模块，故障诊断算法模块采用支持向量机(Support Vector Machine，即SVM)，其算法流程如图2所示，将数据库中的历史数据进行预处理：首先将数据按各设备的特征进行特征分类，将分类的数据做[0,1]归一化处理，用处理完的数据对SVM分类器进行训练，采用交叉验证法寻找最优的惩罚参数C和核函数参数g，最终得到合适的故障诊断模型，即可对由岸电系统采集的数据进行实时诊断，判断其是否发生故障以及发生的故障类型。
用于对岸电系统单元中的各个设备按照特征分量分类完成的历史数据进行内部存储的数据库模块，该数据库模块为Simulink单元11的工作空间，作为训练集为SVM提供得到分类模型的依据，收集从由Dspace发送的实时数据对数据库进行更新，确保诊断模型的精确性，数据包括：变频器的直流母线电压、三相输出电压、内部温度、输出频率，断路器的三相电流、三相时间，变压器的二氧化碳、一氧化碳、氢等气体成分含量等等。
用于将故障诊断算法模块得出的结果以文字形式显示的结果显示模块，结果显示模块为Matlab主界面。
用于将Dspace MircoLabBox实时控制器采集到的实时数据发送给故障诊断算法模块的输入接口，该输入接口与Dspace MircoLabBox实时控制器的输出接口相连。
Dspace MircoLabBox实时控制器的输入接口、输出接口与Simulink单元的输入接口均采用MricoLabBox所属接口， MricoLabBox提供24通道，16位模拟输入通道，提供16通道，16位模拟输出通道，提供48通道双向数字IO。
MicroLabBox是Dspace设计开发的适应于实验室环境使用的高性能紧凑型低成本系统，可以帮助用户方便快速地建立起自己的控制、测试以及测量环境以验证控制策略的实用性。主要用于硬件在环的半实物仿真系统的搭建，实现了和Matlab/Simulink的无缝连接，使Matlab用户可以轻松掌握MicroLabBox的使用。
MicroLabBox具有强大的计算能力与极低的I/O延时相结合，提供了出色的实时性能。可编程的FPGA拥有高度的灵活性，同时可以根据各种应用的需求高速运行控制回路，例如电动机控制或主动降噪及减振。
MicroLabBox由综合的Dspace软件包提供支持，其中包括用于I/O集成(基于模型)的
Figure PCTCN2019124776-appb-000001
Real-Time Interface(RTI)以及实验软件
Figure PCTCN2019124776-appb-000002
从而允许在运行期间通过图形化仪器访问实时应用程序。
Dspace部分的实现过程如下：
1)利用Simulink编写故障诊断算法内容，验证其诊断模型部分的正确性；
2)利用RTW(Real-Time-Workshop)将保留的模型直接生成C代码，并对I/O进行配置，用硬件接口关系代替原来的逻辑连接关系；
3)利用RTI(Real-Time-Interface)将RTW生成的C代码下载到Dspace中并运行；
4)利用Dspace提供的测试软件如ControlDesk、MLIB/MTRACE等实现交互操作，进行综合实验和测试。
以下以变频器为例来说明基于Dspace的船舶岸电系统故障诊断平台的使用情况：
如图3所示，A为结果判断输出端，B数据库输出端，C为诊断算法的数据输入端，D为数据库的数据输入端，E为Dspace的数字量输入端，F为A/D模块的数字量输出端，G分别为A/D模块的模拟量输入端，H为变频器模拟输出端口。
变频器的诊断过程如下：首先由变频器A/D模块的模拟量输入端口G采集来自变频器模拟输出端H的直流母线电压、三相输出电压、内部温度、输出频率，通过A/D转换将模拟信号转换为数字信号，由A/D模块的数字输出端F发送给Dspace的总线输入端，由Dspace总线输出端E将数据发送给故障诊断算法的输入端C，故障诊断算法由数据库输出端B调用历史数据建立故障诊断分类模型对变频器进行故障诊断，将诊断结果由结果输出端A发送给结果显示部分，显示变频器正处于1.正常、2.整流桥故障、3.逆变器故障、4.滤波电容失效、5.输出频率低、6.电磁干扰、7.内部温度过高中的哪一种状态，最后将诊断完成后的数据由数据库输入端D加入数据库中。
本实施例提供的基于Dspace的船舶岸电系统故障诊断平台是一种闭环系统，以Dspace为核心，将由Simulink编写的故障诊断算法以及由岸电系统提供的实时数据导入Dspace中，最后经由Simulink直观明了的将诊断结果反馈在计算机屏幕上，基于Dspace的控制器 系统，可以方便快捷的修改诊断策略，能够更加全面的对船舶岸电系统的故障诊断进行测试、修改和完善，同时通过Dspace与实物连接，简化了系统结构，提高了系统的稳定性，且通过Dspace作为控制器使系统具备较高的可扩展性和可移植性。
本实施例的故障诊断系统以Simulink编写核心诊断算法，具备修改方便快捷的特点，采用Dspace作为处理与采集数据的载体具有很高的可扩展性和可移植性，由岸电系统提供数据具备可靠性高，实时性高等特点，该系统大大简化了岸电系统故障诊断由于设备繁杂带来的操作复杂、准确性低等问题，无论是在实际应用还是用于实验室研究都具备十分高的价值。
本实施例的船舶岸电系统故障诊断平台基于Dspace、Simulink和岸电系统各设备联合开发，Dspace作为诊断平台可以快捷的对算法进行修改，增加了系统的灵活性和可扩展性，采用岸电系统设备件与Dspace连接，增强了系统的可靠性和实时性，Dspace通过所述的通讯功能从实物中获取采样信号，并通过串口将数据发送给故障诊断系统，简化了系统结构，使系统更加稳定。
本行业的技术人员应该了解，本发明不受上述实施例的限制，上述实施例和说明书中描述的只是说明本发明的原理，在不脱离本发明精神和范围的前提下，本发明还会有各种变化和改进，这些变化和改进都落入要求保护的本发明范围内。本发明要求保护范围由所附的权利要求书及其等效物界定。

Claims (4)

  1. 一种基于Dspace的船舶岸电系统故障诊断平台，其特征在于：包括
    一用于为故障诊断平台提供历史数据及实时数据的岸电系统单元，所述岸电系统单元包括交流电源、变压器、变频器、滤波装置、功率补偿装置、并网装置、断路器；
    一Dspace单元，所述Dspace单元包括一Dspace MircoLabBox实时控制器，该Dspace MircoLabBox实时控制器具有一输出接口、一输入接口，其中，输入接口与岸电系统单元相连，所述Dspace MircoLabBox实时控制器具有用于对岸电系统单元的信息进行采集的通讯模块，用于对岸电系统单元进行控制的控制模块；
    一Simulink单元，所述Simulink单元包括用于诊断岸电系统单元内各设备是否发生故障及发生何种故障的故障诊断算法模块，用于对岸电系统单元中的各个设备按照特征分量分类完成的历史数据进行内部存储的数据库模块，用于将故障诊断算法模块得出的结果以文字形式显示的结果显示模块，用于将Dspace MircoLabBox实时控制器采集到的实时数据发送给故障诊断算法模块的输入接口，该输入接口与Dspace MircoLabBox实时控制器的输出接口相连。
  2. 根据权利要求1所述的基于Dspace的船舶岸电系统故障诊断平台，其特征在于：所述故障诊断算法模块采用支持向量机。
  3. 根据权利要求1所述的基于Dspace的船舶岸电系统故障诊断平 台，其特征在于：所述结果显示模块为Matlab主界面。
  4. 根据权利要求1所述的基于Dspace的船舶岸电系统故障诊断平台，其特征在于：所述Dspace MircoLabBox实时控制器的输入接口、输出接口与Simulink单元的输入接口均采用MricoLabBox所属接口。
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