CN116907861A - An engine vibration detection method, system, equipment and storage medium - Google Patents
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Abstract
Description
技术领域Technical field
本发明属于发动机检测技术领域,具体涉及一种发动机震动检测方法、系统、设备及存储介质。The invention belongs to the technical field of engine detection, and specifically relates to an engine vibration detection method, system, equipment and storage medium.
背景技术Background technique
发动机又称为引擎,是一种能够把其它形式的能转化为机械能的设备。发动机为旋转类设备,发动机在运行过程中,如出现元部件老化、喷油器堵塞、气缸积碳等故障,通常会引发发动机的异常震动,因而,在发动机运行过程中,通过对发动机进行震动检测,并基于震动检测数据进行分析,可便于实现发动机的故障诊断。An engine, also known as an engine, is a device that can convert other forms of energy into mechanical energy. The engine is a rotating equipment. During the operation of the engine, if there are faults such as aging components, clogged injectors, carbon deposits in the cylinder, etc., it will usually cause abnormal vibration of the engine. Therefore, during the operation of the engine, the engine should be vibrated. Detection and analysis based on vibration detection data can facilitate engine fault diagnosis.
目前,在对发动机进行震动检测过程中,通过在发动机上装设震动类传感器,并获取不同工况下发动机的运行震动数据,形成震动数据库;在发动机运行过程中,通过实时采集发动机的实时震动数据,再通过将该实时震动数据与震动数据库中的运行震动数据逐一进行对比,如其与其中一种运行震动数据的相似度大于指定的限定值,则认为该发动机处于运行震动数据对应的工况,以此实现发动机运行故障的判断。At present, in the process of vibration detection of the engine, vibration sensors are installed on the engine and the operating vibration data of the engine under different working conditions are obtained to form a vibration database; during the engine running process, the real-time vibration data of the engine is collected in real time. , and then compare the real-time vibration data with the operating vibration data in the vibration database one by one. If the similarity with one of the operating vibration data is greater than the specified limit value, the engine is considered to be in the working condition corresponding to the operating vibration data. In this way, the judgment of engine operating failure can be realized.
但是,在使用现有技术过程中,发明人发现现有技术中至少存在如下问题:However, in the process of using the prior art, the inventor discovered that there are at least the following problems in the prior art:
现有技术中,进行发动机故障判断的准确性取决于震动数据库中数据的完整性,也即需要提前采集不同故障类型下发动机对应的运行振动频谱,方可实现发动机运行故障的准确判断,同时无法在发动机处于多种故障组合状态下的故障识别,准确度较低。In the existing technology, the accuracy of engine fault judgment depends on the integrity of the data in the vibration database. That is to say, the operating vibration spectrum corresponding to the engine under different fault types needs to be collected in advance to achieve accurate judgment of engine operating faults. At the same time, it is impossible to The accuracy of fault identification when the engine is in multiple fault combination states is low.
发明内容Contents of the invention
本发明旨在至少在一定程度上解决上述技术问题,本发明提供了一种发动机震动检测方法、系统、设备及存储介质。The present invention aims to solve the above technical problems at least to a certain extent. The present invention provides an engine vibration detection method, system, equipment and storage medium.
为了实现上述目的,本发明采用以下技术方案:In order to achieve the above objects, the present invention adopts the following technical solutions:
第一方面,本发明提供了一种发动机震动检测方法,包括:In a first aspect, the present invention provides an engine vibration detection method, including:
实时获取发动机的震动信号,并对所述震动信号进行预处理,得到预处理后震动信号;Obtain the vibration signal of the engine in real time, preprocess the vibration signal, and obtain the preprocessed vibration signal;
根据所述预处理后震动信号得到震动特征频谱;Obtain the vibration characteristic spectrum according to the preprocessed vibration signal;
对所述震动特征频谱进行特征提取,得到震动特征数据;Perform feature extraction on the vibration characteristic spectrum to obtain vibration characteristic data;
基于预设的震动频谱数据库对所述震动特征数据进行运行状态识别,得到发动机故障识别结果。Based on the preset vibration spectrum database, the vibration characteristic data is identified as running state, and the engine fault identification result is obtained.
本发明可实现发动机故障的检测,准确度较高。具体地,本发明在实施过程中,通过实时获取发动机的震动信号,并对所述震动信号进行预处理,得到预处理后震动信号;随后根据所述预处理后震动信号得到震动特征频谱;再对所述震动特征频谱进行特征提取,得到震动特征数据;最后基于预设的震动频谱数据库对所述震动特征数据进行运行状态识别,得到发动机故障识别结果。在此过程中,震动特征数据可清楚表明发动机的故障原因,通过震动特征数据进行发动机震动故障的检测,可更准确地识别发动机故障,可避免现有技术中直接将发动机实时震动数据与震动数据库中数据进行对比导致的检测精度较低的问题。The invention can detect engine faults with high accuracy. Specifically, during the implementation of the present invention, the vibration signal of the engine is obtained in real time and the vibration signal is preprocessed to obtain the preprocessed vibration signal; then the vibration characteristic spectrum is obtained based on the preprocessed vibration signal; and then Feature extraction is performed on the vibration characteristic spectrum to obtain vibration characteristic data; finally, the operating status of the vibration characteristic data is identified based on the preset vibration spectrum database, and the engine fault identification result is obtained. In this process, the vibration characteristic data can clearly indicate the cause of the engine failure. The detection of engine vibration faults through the vibration characteristic data can more accurately identify engine faults and avoid the direct integration of the real-time engine vibration data with the vibration database in the existing technology. The problem of low detection accuracy caused by comparing the data in the data.
在一个可能的设计中,对所述震动信号进行预处理,得到预处理后震动信号,包括:In a possible design, the vibration signal is preprocessed to obtain a preprocessed vibration signal, including:
对所述震动信号进行滤波处理,得到滤波处理后震动信号;Filter the vibration signal to obtain a filtered vibration signal;
对所述滤波处理后震动信号进行中心化处理,得到中心化处理后震动信号;Perform centralized processing on the filtered vibration signal to obtain the centralized processed vibration signal;
对所述中心化处理后震动信号进行时域加权处理,得到加权处理后震动信号;Perform time-domain weighting processing on the centralized-processed vibration signal to obtain a weighted-processed vibration signal;
对所述加权处理后震动信号进行平均化处理,得到预处理后震动信号。The weighted vibration signal is averaged to obtain a preprocessed vibration signal.
在一个可能的设计中,根据所述预处理后震动信号得到震动特征频谱时,采用傅立叶变换方法实现。In a possible design, the Fourier transform method is used to obtain the vibration characteristic spectrum based on the preprocessed vibration signal.
在一个可能的设计中,根据所述预处理后震动信号得到震动特征频谱,包括:In a possible design, the vibration characteristic spectrum is obtained based on the preprocessed vibration signal, including:
对所述预处理后震动信号进行自相关运算,得到自相关运算后震动信号;Perform autocorrelation operation on the preprocessed vibration signal to obtain the vibration signal after autocorrelation operation;
对所述自相关运算后震动信号进行傅立叶变换,得到震动特征频谱。Fourier transform is performed on the vibration signal after the autocorrelation operation to obtain the vibration characteristic spectrum.
在一个可能的设计中,根据所述预处理后震动信号得到震动特征频谱后,所述方法还包括:In a possible design, after obtaining the vibration characteristic spectrum according to the preprocessed vibration signal, the method further includes:
从所述震动特征频谱中分离得到震动基频信号;Separate the vibration fundamental frequency signal from the vibration characteristic spectrum;
对所述震动基频信号进行平滑处理,得到平滑处理后震动基频信号;Smooth the vibration fundamental frequency signal to obtain a smoothed vibration fundamental frequency signal;
根据所述平滑处理后震动基频信号得到当前发动机的曲轴转速;Obtain the current crankshaft speed of the engine according to the smoothed vibration fundamental frequency signal;
根据所述曲轴转速得到当前发动机的性能识别结果。The performance identification result of the current engine is obtained according to the crankshaft speed.
在一个可能的设计中,所述曲轴转速为:In one possible design, the crankshaft speed is:
v=60(α/2)f 0/i; v =60( α /2) f 0 / i ;
式中,α为当前发动机的冲程数,f 0为所述震动基频信号的频率,i为当前发动机的气缸数。In the formula, α is the stroke number of the current engine, f 0 is the frequency of the vibration fundamental frequency signal, and i is the number of cylinders of the current engine.
在一个可能的设计中,得到发动机故障识别结果后,所述方法还包括:In a possible design, after obtaining the engine fault identification result, the method further includes:
根据所述发动机故障识别结果得到发动机维修方案。An engine maintenance plan is obtained based on the engine fault identification results.
第二方面,本发明提供了一种发动机震动检测系统,用于实现如上述任一项所述的发动机震动检测方法;所述发动机震动检测系统包括:In a second aspect, the present invention provides an engine vibration detection system, used to implement the engine vibration detection method as described in any one of the above; the engine vibration detection system includes:
信号预处理模块,用于实时获取发动机的震动信号,并对所述震动信号进行预处理,得到预处理后震动信号;A signal preprocessing module is used to obtain the vibration signal of the engine in real time, and preprocess the vibration signal to obtain the preprocessed vibration signal;
信号转换模块,与所述信号预处理模块通信连接,用于根据所述预处理后震动信号得到震动特征频谱;A signal conversion module, communicatively connected to the signal preprocessing module, used to obtain the vibration characteristic spectrum according to the preprocessed vibration signal;
特征提取模块,与所述信号转换模块通信连接,用于对所述震动特征频谱进行特征提取,得到震动特征数据;A feature extraction module, communicatively connected to the signal conversion module, is used to extract features from the vibration feature spectrum to obtain vibration feature data;
故障识别模块,与所述特征提取模块通信连接,用于基于预设的震动频谱数据库对所述震动特征数据进行运行状态识别,得到发动机故障识别结果。A fault identification module is communicatively connected to the feature extraction module, and is used to identify the operating status of the vibration feature data based on a preset vibration spectrum database to obtain an engine fault identification result.
第三方面,本发明提供了一种电子设备,包括:In a third aspect, the present invention provides an electronic device, including:
存储器,用于存储计算机程序指令;以及,Memory for storing computer program instructions; and,
处理器,用于执行所述计算机程序指令从而完成如上述任一项所述的发动机震动检测方法的操作。A processor, configured to execute the computer program instructions to complete the operation of the engine vibration detection method as described in any one of the above.
第四方面,本发明提供了一种计算机可读存储介质,用于存储计算机可读取的计算机程序指令,所述计算机程序指令被配置为运行时执行如上述任一项所述的发动机震动检测方法的操作。In a fourth aspect, the present invention provides a computer-readable storage medium for storing computer-readable computer program instructions configured to perform engine vibration detection as described in any one of the above when running. Method operation.
附图说明Description of the drawings
图1是实施例中一种发动机震动检测方法的流程图;Figure 1 is a flow chart of an engine vibration detection method in an embodiment;
图2是实施例中一种发动机震动检测系统的模块框图;Figure 2 is a module block diagram of an engine vibration detection system in the embodiment;
图3是实施例中一种电子设备的模块框图。Figure 3 is a module block diagram of an electronic device in the embodiment.
具体实施方式Detailed ways
为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将结合附图和实施例或现有技术的描述对本发明作简单地介绍,显而易见地,下面关于附图结构的描述仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。在此需要说明的是,对于这些实施例方式的说明用于帮助理解本发明,但并不构成对本发明的限定。In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be briefly introduced below in conjunction with the accompanying drawings and the description of the embodiments or the prior art. Obviously, the following description of the structure of the drawings is only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts. It should be noted here that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.
实施例1:Example 1:
本实施例公开了一种发动机震动检测方法,可以但不限于由具有一定计算资源的计算机设备或虚拟机执行,例如由个人计算机、智能手机、个人数字助理或可穿戴设备等电子设备执行,或者由虚拟机执行。具体地,本实施例中,具有一定计算资源的计算机设备或虚拟机执中的运算单元基于具备较强数据处理能力的XC878处理器实现,XC878处理器包括算术逻辑单元、ACC寄存器、B寄存器和程序状态字寄存器等,其最大外部时钟频率可达144MHz,可以满足震动信号的后续运算,同时其使用两个时钟周期,允许快速访问随机存储器或只读存储器,不需要等待状态,可以满足震动数据的及时存储等,功能较为强大,适用于本实施例中发动机震动检测方法的应用。This embodiment discloses an engine vibration detection method, which can be, but is not limited to, executed by a computer device or a virtual machine with certain computing resources, such as by an electronic device such as a personal computer, a smart phone, a personal digital assistant or a wearable device, or Executed by a virtual machine. Specifically, in this embodiment, the computing unit in a computer device or virtual machine with certain computing resources is implemented based on the XC878 processor with strong data processing capabilities. The XC878 processor includes an arithmetic logic unit, ACC register, B register and Program status word register, etc., its maximum external clock frequency can reach 144MHz, which can meet the subsequent operation of vibration signal. At the same time, it uses two clock cycles, allowing fast access to random access memory or read-only memory, without waiting state, and can meet the requirement of vibration data timely storage, etc., the function is relatively powerful, and is suitable for the application of the engine vibration detection method in this embodiment.
如图1所示,一种发动机震动检测方法,可以但不限于包括有如下步骤:As shown in Figure 1, an engine vibration detection method can, but is not limited to, include the following steps:
S1.实时获取发动机的震动信号,并对所述震动信号进行预处理,得到预处理后震动信号;需要说明的是,本实施例中,预先在发动机的缸盖上安装震动传感器,以实现对发动机的震动信号检测。应当理解的是,本实施例中,震动信号为数字信号,震动传感器可检测得到当前发动机的震动模拟信号,对其进行模数转换后,即可得到震动数字信号,也即本申请中的震动信号。S1. Acquire the vibration signal of the engine in real time, and perform preprocessing on the vibration signal to obtain the preprocessed vibration signal. It should be noted that in this embodiment, a vibration sensor is installed on the cylinder head of the engine in advance to achieve Engine vibration signal detection. It should be understood that in this embodiment, the vibration signal is a digital signal. The vibration sensor can detect the current vibration analog signal of the engine. After analog-to-digital conversion, the vibration digital signal can be obtained, which is the vibration in this application. Signal.
本实施例中,对所述震动信号进行预处理,得到预处理后震动信号,包括:In this embodiment, the vibration signal is preprocessed to obtain a preprocessed vibration signal, including:
S101.对所述震动信号进行滤波处理,得到滤波处理后震动信号;S101. Filter the vibration signal to obtain the filtered vibration signal;
S102.对所述滤波处理后震动信号进行中心化处理,得到中心化处理后震动信号;需要说明的是,震动传感器对当前发动机进行震动检测得到的震动信号为随机震动信号与周期震动信号相叠加的结果,不应当存在明显的趋势项,如果存在则应当予以消除,否则会使得到的预处理后震动信号产生畸变,因而本实施例中通过中心化处理以消除滤波处理后震动信号中的趋势项。S102. Centralize the filtered vibration signal to obtain the centralized vibration signal; it should be noted that the vibration signal obtained by the vibration sensor detecting vibration of the current engine is a superposition of a random vibration signal and a periodic vibration signal. As a result, there should be no obvious trend term. If it exists, it should be eliminated. Otherwise, the obtained preprocessed vibration signal will be distorted. Therefore, in this embodiment, centralized processing is used to eliminate the trend in the filtered vibration signal. item.
S103.对所述中心化处理后震动信号进行时域加权处理,得到加权处理后震动信号;需要说明的是,本实施例中,时域加权处理可减少所述中心化处理后震动信号的遗漏项。S103. Perform time-domain weighting processing on the centralized-processed vibration signal to obtain a weighted-processed vibration signal; it should be noted that in this embodiment, time-domain weighting processing can reduce the omission of the centralized-processed vibration signal. item.
S104.对所述加权处理后震动信号进行平均化处理,得到预处理后震动信号。需要说明的是,本实施例中,平均化处理可避免后续根据所述预处理后震动信号得到震动特征频谱时,估计的均方误差过大的问题。本实施例中,平均化处理可以但不仅限于采用均方根平均算法实现。S104. Perform averaging processing on the weighted vibration signal to obtain a preprocessed vibration signal. It should be noted that in this embodiment, the averaging process can avoid the problem of excessive estimated mean square error when the vibration characteristic spectrum is subsequently obtained based on the preprocessed vibration signal. In this embodiment, the averaging process may be implemented by, but is not limited to, the root mean square averaging algorithm.
S2.根据所述预处理后震动信号得到震动特征频谱;需要说明的是,震动频谱用于描述频域中震动信号的分布情况,通常能够提供比时域波形更加直观的特征信息。具体地,震动特征频谱为震动信号在频率域的表示结果,本实施例中,通过将预处理后震动信号进行傅立叶变换(或其他类似的变换)后即可得到的震动特征频谱。在震动特征频谱中,横坐标表示频率,纵坐标表示相应频率下的振动幅值或能量。S2. Obtain the vibration characteristic spectrum according to the preprocessed vibration signal; it should be noted that the vibration spectrum is used to describe the distribution of vibration signals in the frequency domain and can usually provide more intuitive characteristic information than the time domain waveform. Specifically, the vibration characteristic spectrum is the representation of the vibration signal in the frequency domain. In this embodiment, the vibration characteristic spectrum can be obtained by Fourier transform (or other similar transformation) of the preprocessed vibration signal. In the vibration characteristic spectrum, the abscissa represents frequency, and the ordinate represents vibration amplitude or energy at the corresponding frequency.
具体地,本实施例中,根据所述预处理后震动信号得到震动特征频谱,包括:Specifically, in this embodiment, the vibration characteristic spectrum is obtained based on the preprocessed vibration signal, including:
S201.对所述预处理后震动信号进行自相关运算,得到自相关运算后震动信号;S201. Perform autocorrelation operation on the preprocessed vibration signal to obtain the vibration signal after autocorrelation operation;
S202.对所述自相关运算后震动信号进行傅立叶变换,得到震动特征频谱。S202. Perform Fourier transform on the vibration signal after the autocorrelation operation to obtain the vibration characteristic spectrum.
S3.对所述震动特征频谱进行特征提取,得到震动特征数据;本实施例中,对所述震动特征频谱进行特征提取的过程中,还对所述震动特征频谱进行放大,以提高其在同一震动频率下的震动幅值,进而提高发动机故障检测的灵敏度。具体地,本实施例中,对所述震动特征频谱进行特征提取时,可以但不仅限于采用基频识别算法、谐频识别算法、包络线分析法、小波包识别法以及状态识别法等特征提取方法实现,此处不予限制。S3. Perform feature extraction on the vibration characteristic spectrum to obtain vibration characteristic data; in this embodiment, during the feature extraction process of the vibration characteristic spectrum, the vibration characteristic spectrum is also amplified to improve its performance at the same time. Vibration amplitude at vibration frequency, thereby improving the sensitivity of engine fault detection. Specifically, in this embodiment, when extracting features from the vibration characteristic spectrum, features such as fundamental frequency identification algorithm, harmonic frequency identification algorithm, envelope analysis method, wavelet packet identification method, and state identification method may be used, but are not limited to The extraction method is implemented and is not limited here.
S4.基于预设的震动频谱数据库对所述震动特征数据进行运行状态识别,得到发动机故障识别结果。具体地,本实施例中,震动频谱数据库的获取步骤如下:获取不同工况下发动机的运行震动频谱,形成震动频谱数据库。S4. Perform operating status identification on the vibration characteristic data based on the preset vibration spectrum database to obtain engine fault identification results. Specifically, in this embodiment, the steps for obtaining the vibration spectrum database are as follows: obtain the operating vibration spectrum of the engine under different working conditions to form a vibration spectrum database.
本实施例中,得到发动机故障识别结果后,所述方法还包括:In this embodiment, after obtaining the engine fault identification result, the method further includes:
S5.根据所述发动机故障识别结果得到发动机维修方案。需要说明的是,本实施例中,预存有发动机故障识别结果与对应的发动机维修方案的数据库,以便从该数据库中基于所述发动机故障识别结果得到对应的发动机维修方案,由此便于用户及时对发动机进行检修。S5. Obtain an engine maintenance plan based on the engine fault identification results. It should be noted that in this embodiment, a database of engine fault identification results and corresponding engine maintenance plans is pre-stored, so that the corresponding engine maintenance plan can be obtained from the database based on the engine fault identification results, thereby facilitating the user to make timely decisions. The engine is inspected.
本实施例中,根据所述预处理后震动信号得到震动特征频谱后,所述方法还包括:In this embodiment, after obtaining the vibration characteristic spectrum according to the preprocessed vibration signal, the method further includes:
A1.从所述震动特征频谱中分离得到震动基频信号;需要说明的是,由于基频处的能量相对较大,本实施例中,从震动频域信号中除直流分量外的复数模值最大处即为震动基频信号;A1. Separate the vibration fundamental frequency signal from the vibration characteristic spectrum; it should be noted that since the energy at the fundamental frequency is relatively large, in this embodiment, the complex modulus value except the DC component from the vibration frequency domain signal is The maximum point is the vibration fundamental frequency signal;
A2.对所述震动基频信号进行平滑处理,得到平滑处理后震动基频信号;需要说明的是,对所述震动基频信号进行平滑处理,可便于减小后续对根据所述平滑处理后震动基频信号得到当前发动机的曲轴转速时的误差。A2. Smooth the vibration fundamental frequency signal to obtain the smoothed vibration fundamental frequency signal; it should be noted that smoothing the vibration fundamental frequency signal can facilitate the reduction of subsequent vibration according to the smoothing process. The vibration fundamental frequency signal obtains the error at the current engine crankshaft speed.
A3.根据所述平滑处理后震动基频信号得到当前发动机的曲轴转速;A3. Obtain the current crankshaft speed of the engine according to the smoothed vibration fundamental frequency signal;
具体地,本实施例中,所述曲轴转速为:Specifically, in this embodiment, the crankshaft speed is:
v=60(α/2)f 0/i; v =60( α /2) f 0 / i ;
式中,α为当前发动机的冲程数,f 0为所述震动基频信号的频率,i为当前发动机的气缸数。In the formula, α is the stroke number of the current engine, f 0 is the frequency of the vibration fundamental frequency signal, and i is the number of cylinders of the current engine.
A4.根据所述曲轴转速得到当前发动机的性能识别结果。A4. Obtain the performance identification result of the current engine according to the crankshaft speed.
本实施例可实现发动机故障的检测,准确度较高。具体地,本实施例在实施过程中,通过实时获取发动机的震动信号,并对所述震动信号进行预处理,得到预处理后震动信号;随后根据所述预处理后震动信号得到震动特征频谱;再对所述震动特征频谱进行特征提取,得到震动特征数据;最后基于预设的震动频谱数据库对所述震动特征数据进行运行状态识别,得到发动机故障识别结果。在此过程中,震动特征数据可清楚表明发动机的故障原因,通过震动特征数据进行发动机震动故障的检测,可更准确地识别发动机故障,可避免现有技术中直接将发动机实时震动数据与震动数据库中数据进行对比导致的检测精度较低的问题。This embodiment can detect engine faults with high accuracy. Specifically, during the implementation of this embodiment, the vibration signal of the engine is obtained in real time and the vibration signal is preprocessed to obtain the preprocessed vibration signal; and then the vibration characteristic spectrum is obtained based on the preprocessed vibration signal; Then, feature extraction is performed on the vibration characteristic spectrum to obtain vibration characteristic data; finally, the operating status of the vibration characteristic data is identified based on the preset vibration spectrum database, and the engine fault identification result is obtained. In this process, the vibration characteristic data can clearly indicate the cause of the engine failure. The detection of engine vibration faults through the vibration characteristic data can more accurately identify engine faults and avoid the direct integration of the real-time engine vibration data with the vibration database in the existing technology. The problem of low detection accuracy caused by comparing the data in the data.
实施例2:Example 2:
本实施例公开了一种发动机震动检测系统,用于实现实施例1中发动机震动检测方法;如图2所示,所述发动机震动检测系统包括:This embodiment discloses an engine vibration detection system, which is used to implement the engine vibration detection method in Embodiment 1; as shown in Figure 2, the engine vibration detection system includes:
信号预处理模块,用于实时获取发动机的震动信号,并对所述震动信号进行预处理,得到预处理后震动信号;A signal preprocessing module is used to obtain the vibration signal of the engine in real time, and preprocess the vibration signal to obtain the preprocessed vibration signal;
信号转换模块,与所述信号预处理模块通信连接,用于根据所述预处理后震动信号得到震动特征频谱;A signal conversion module, communicatively connected to the signal preprocessing module, used to obtain the vibration characteristic spectrum according to the preprocessed vibration signal;
特征提取模块,与所述信号转换模块通信连接,用于对所述震动特征频谱进行特征提取,得到震动特征数据;A feature extraction module, communicatively connected to the signal conversion module, is used to extract features from the vibration feature spectrum to obtain vibration feature data;
故障识别模块,与所述特征提取模块通信连接,用于基于预设的震动频谱数据库对所述震动特征数据进行运行状态识别,得到发动机故障识别结果。A fault identification module is communicatively connected to the feature extraction module, and is used to identify the operating status of the vibration feature data based on a preset vibration spectrum database to obtain an engine fault identification result.
实施例3:Example 3:
在实施例1或2的基础上,本实施例公开了一种电子设备,该设备可以是智能手机、平板电脑、笔记本电脑或者台式电脑等。电子设备可能被称为用于终端、便携式终端、台式终端等,如图3所示,电子设备包括:Based on Embodiment 1 or 2, this embodiment discloses an electronic device, which may be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc. Electronic equipment may be called terminals, portable terminals, desktop terminals, etc. As shown in Figure 3, electronic equipment includes:
存储器,用于存储计算机程序指令;以及,Memory for storing computer program instructions; and,
处理器,用于执行所述计算机程序指令从而完成如实施例1中任一所述的发动机震动检测方法的操作。A processor, configured to execute the computer program instructions to complete the operation of the engine vibration detection method as described in any one of Embodiment 1.
具体地,处理器301可以包括一个或多个处理核心,比如4核心处理器、8核心处理器等。处理器301可以采用DSP(Digital Signal Processing,数字信号处理)、FPGA(Field-Programmable Gate Array,现场可编程门阵列)、PLA(Programmable LogicArray,可编程逻辑阵列)中的至少一种硬件形式来实现。处理器301也可以包括主处理器和协处理器,主处理器是用于对在唤醒状态下的数据进行处理的处理器,也称CPU(CentralProcessing Unit,中央处理器);协处理器是用于对在待机状态下的数据进行处理的低功耗处理器。在一些实施例中,处理器301可以在集成有GPU(Graphics Processing Unit,图像处理器),GPU用于负责显示屏所需要显示的内容的渲染和绘制。Specifically, the processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 301 can be implemented in at least one hardware form among DSP (Digital Signal Processing, digital signal processing), FPGA (Field-Programmable Gate Array, field programmable gate array), and PLA (Programmable Logic Array, programmable logic array). . The processor 301 may also include a main processor and a co-processor. The main processor is a processor used to process data in the wake-up state, also called CPU (Central Processing Unit, central processing unit); the co-processor is A low-power processor used to process data in standby mode. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit, image processor), and the GPU is responsible for rendering and drawing content to be displayed on the display screen.
存储器302可以包括一个或多个计算机可读存储介质,该计算机可读存储介质可以是非暂态的。存储器302还可包括高速随机存取存储器,以及非易失性存储器,比如一个或多个磁盘存储设备、闪存存储设备。在一些实施例中,存储器302中的非暂态的计算机可读存储介质用于存储至少一个指令,该至少一个指令用于被处理器301所执行以实现本申请中实施例1提供的发动机震动检测方法。Memory 302 may include one or more computer-readable storage media, which may be non-transitory. Memory 302 may also include high-speed random access memory, and non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 302 is used to store at least one instruction, and the at least one instruction is used to be executed by the processor 301 to implement the engine vibration provided in Embodiment 1 of the present application. Detection method.
在一些实施例中,终端还可选包括有:通信接口303和至少一个外围设备。处理器301、存储器302和通信接口303之间可以通过总线或信号线相连。各个外围设备可以通过总线、信号线或电路板与通信接口303相连。具体地,外围设备包括:射频电路304、显示屏305和电源306中的至少一种。In some embodiments, the terminal optionally further includes: a communication interface 303 and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected through a bus or a signal line. Each peripheral device can be connected to the communication interface 303 through a bus, a signal line or a circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 304, a display screen 305, and a power supply 306.
通信接口303可被用于将I/O(Input/ Output,输入/输出)相关的至少一个外围设备连接到处理器301和存储器302。在一些实施例中,处理器301、存储器302和通信接口303被集成在同一芯片或电路板上;在一些其他实施例中,处理器301、存储器302和通信接口303中的任意一个或两个可以在单独的芯片或电路板上实现,本实施例对此不加以限定。The communication interface 303 may be used to connect at least one I/O (Input/Output, input/output) related peripheral device to the processor 301 and the memory 302 . In some embodiments, the processor 301, the memory 302 and the communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or both of the processor 301, the memory 302 and the communication interface 303 It can be implemented on a separate chip or circuit board, which is not limited in this embodiment.
射频电路304用于接收和发射RF(Radio Frequency,射频)信号,也称电磁信号。射频电路304通过电磁信号与通信网络以及其他通信设备进行通信。The radio frequency circuit 304 is used to receive and transmit RF (Radio Frequency, radio frequency) signals, also called electromagnetic signals. Radio frequency circuit 304 communicates with communication networks and other communication devices through electromagnetic signals.
显示屏305用于显示UI(User Interface,用户界面)。该UI可以包括图形、文本、图标、视频及其它们的任意组合。The display screen 305 is used to display UI (User Interface, user interface). The UI can include graphics, text, icons, videos, and any combination thereof.
电源306用于为电子设备中的各个组件进行供电。The power supply 306 is used to power various components in the electronic device.
实施例4:Example 4:
在实施例1至3任一项实施例的基础上,本实施例公开了一种计算机可读存储介质,用于存储计算机可读取的计算机程序指令,所述计算机程序指令被配置为运行时执行如实施例1所述的发动机震动检测方法的操作。Based on any one of Embodiments 1 to 3, this embodiment discloses a computer-readable storage medium for storing computer-readable computer program instructions, where the computer program instructions are configured to run The operation of the engine vibration detection method described in Embodiment 1 is performed.
显然,本领域的技术人员应该明白,上述的本发明的各模块或各步骤可以用通用的计算装置来实现,它们可以集中在单个的计算装置上,或者分布在多个计算装置所组成的网络上,可选地,它们可以用计算装置可执行的程序代码来实现,从而,可以将它们存储在存储装置中由计算装置来执行,或者将它们分别制作成各个集成电路模块,或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样,本发明不限制于任何特定的硬件和软件结合。Obviously, those skilled in the art should understand that the above-mentioned modules or steps of the present invention can be implemented using general-purpose computing devices. They can be concentrated on a single computing device, or distributed across a network composed of multiple computing devices. , optionally, they can be implemented with program codes executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be separately made into individual integrated circuit modules, or they can be Multiple modules or steps are made into a single integrated circuit module. As such, the invention is not limited to any specific combination of hardware and software.
最后应说明的是,以上实施例仅用以说明本发明的技术方案,而非对其限制;尽管参照前述实施例对本发明进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分技术特征进行等同替换。而这些修改或者替换,并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still be used Modify the technical solutions described in the foregoing embodiments, or make equivalent replacements for some of the technical features. However, these modifications or substitutions do not cause the essence of the corresponding technical solution to deviate from the spirit and scope of the technical solution of each embodiment of the present invention.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102009013142A1 (en) * | 2009-03-13 | 2010-09-16 | Audi Ag | Crankshaft's uneven running determining method for internal combustion engine of vehicle drive of car, involves evaluating speed of crankshaft, and evaluating periodic time of variations of speed of crankshaft |
CN103760376A (en) * | 2014-01-13 | 2014-04-30 | 山东理工大学 | Engine rotating speed measuring instrument based on vibration principle and test method thereof |
US20180087460A1 (en) * | 2016-09-28 | 2018-03-29 | General Electric Company | Systems for diagnosing a condition of an engine |
CN107907291A (en) * | 2017-10-27 | 2018-04-13 | 安徽容知日新科技股份有限公司 | A kind of impulse detection method and computing device |
CN114199364A (en) * | 2021-12-14 | 2022-03-18 | 中国航发南方工业有限公司 | A vibration monitoring system for aero-engine |
CN116577104A (en) * | 2023-03-30 | 2023-08-11 | 广西大学 | Engine fault detection method and equipment |
-
2023
- 2023-09-12 CN CN202311168185.2A patent/CN116907861A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102009013142A1 (en) * | 2009-03-13 | 2010-09-16 | Audi Ag | Crankshaft's uneven running determining method for internal combustion engine of vehicle drive of car, involves evaluating speed of crankshaft, and evaluating periodic time of variations of speed of crankshaft |
CN103760376A (en) * | 2014-01-13 | 2014-04-30 | 山东理工大学 | Engine rotating speed measuring instrument based on vibration principle and test method thereof |
US20180087460A1 (en) * | 2016-09-28 | 2018-03-29 | General Electric Company | Systems for diagnosing a condition of an engine |
CN107907291A (en) * | 2017-10-27 | 2018-04-13 | 安徽容知日新科技股份有限公司 | A kind of impulse detection method and computing device |
CN114199364A (en) * | 2021-12-14 | 2022-03-18 | 中国航发南方工业有限公司 | A vibration monitoring system for aero-engine |
CN116577104A (en) * | 2023-03-30 | 2023-08-11 | 广西大学 | Engine fault detection method and equipment |
Non-Patent Citations (1)
Title |
---|
陈海峰;赵政社;张少博;: "基于振动检测的发动机故障诊断算法研究", 火箭推进, vol. 38, no. 06, pages 63 - 68 * |
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Application publication date: 20231020 |