0 Introduction

Professional and advanced technologies are required to monitor and inspect the operation of ships during navigation. Currently, in China, the most commonly used method is the electromechanical equipment vibration acquisition system, which collects data from operating vessels and integrates the corresponding information. This approach enables more accurate identification of fault locations and specific issues. Such visualized analysis benefits the development of the maritime industry.

1 Research Background

During operation, ships rely on various electromechanical devices to provide power. In this process, these devices generate significant noise while running. Once a fault occurs in an electromechanical device, it may be masked by the noise, making it difficult to identify the root cause. Continuous technological advancements are therefore necessary to address this issue. By employing vibration acquisition systems, faulty electromechanical equipment can be automatically located, and more precise data can be obtained through computation. Appropriate corrective actions can then be taken to address the faults before they escalate into serious, unmanageable problems [1].

The working principle of such acquisition systems mainly involves capturing waves and vibrations emitted when electromechanical equipment fails. Faulty machines exhibit differences in vibration amplitude or wavelength compared to normally operating ones. The vibration acquisition system analyzes these variations. The system is crucial for the normal operation of ships; any malfunction in the acquisition system itself could lead to severe navigation issues and affect voyage quality. Mastering more advanced and scientific acquisition systems allows fault diagnosis technologies to effectively identify and eliminate system faults within a timely manner, ensuring the proper functioning of the acquisition system and safe vessel operation, thereby safeguarding both crew and ship.

2 Calculating Fault Parameters of Electromechanical Equipment Vibration Acquisition Systems

During the design phase of electromechanical equipment vibration acquisition systems, potential faults can be identified by analyzing specific parameters. For data exhibiting discrepancies, it is essential to accurately determine their sources and understand the underlying causes. In some cases, the appearance of anomalous data reflects that certain faults have reached a threshold level.

By studying the data acquisition and analysis processes of vibration acquisition systems, potential faults during vessel operation can be identified, providing reliable data for fault resolution. Specialized software can be used to organize the data, and data evaluation facilitates the establishment of a database related to vibration acquisition. Once a fault occurs, database matching and comparison make it easier to pinpoint the issue. Collected data should be filtered or screened according to actual conditions—not all data need to be used as reference in the analysis. The acquisition system operates with fixed fault parameter values. Based on these values, all necessary information can be calculated, and appropriate data formulas inferred. Multiple variables in the formula may influence parameter information and ultimately affect the fault diagnosis outcome. Therefore, irrelevant factors must be excluded according to the parameters, as not all information is suitable for use in formula-based calculations.

After eliminating potential confounding factors that could interfere with diagnosis, fault diagnosis results can be obtained more thoroughly and accurately. This approach ensures greater stability in the calculation process and prevents fault resolution from becoming more complicated due to secondary issues.

3 Fault Localization in Electromechanical Equipment Vibration Acquisition Systems

For intelligent acquisition systems, the most critical task is locating the fault position. Previous diagnostic operations have already excluded parameters with interfering effects, making it easier to identify the fault location. However, in China’s current vibration acquisition systems, fault types are numerous and complex. Common fault types include damage faults and misadjustment faults, all of which require detection via vibration acquisition systems during vessel operation to determine their primary causes. Combining multiple reference values enables more accurate analysis of fault types and overall fault characteristics, achieving precise diagnosis of the acquisition system and providing accurate data support for analysis [2].

Various methods can be used to locate faults. The most widely used method today is infrared temperature measurement. Its main advantages include simplicity, speed, and low cost. During operation, the acquisition system generates substantial heat, typically maintained within a suitable temperature range. Significant temperature fluctuations may indicate operational abnormalities. After temperature detection, rays can be used to monitor changes in multiple parameters. The collected data can then be scanned into spectrum images within the system, enabling precise localization of the fault position in electromechanical equipment. In addition to temperature checks, inspecting other key parameters can assist in locating the fault. Connecting and debugging these critical parameters also helps ensure normal system operation. After temperature measurement, rays analyze medium density of the acquired content. Combining these two steps comprehensively identifies the main causes of the fault. During monitoring, the system must be scanned thoroughly and accurately to quickly identify the fault location. Therefore, fault localization should be a key component of fault detection during vessel operation.

4 Visualized Fault Diagnosis Analysis

To provide fault detection personnel with more convenient conditions, visualized analysis can be employed to make the fault analysis process easier and more efficient. First, the intelligent acquisition system locates the fault and identifies the primary location. In such cases, the diagnostic system provides staff with a series of fault data parameters. These parameters are abstract; during fault analysis, they can be imported into equations and transformed into logical relationship diagrams through more convenient operations. Obtaining a logical relationship diagram does not mark the end of the process. Subsequently, image processing techniques can be applied to generate easily observable and interpretable visual outputs, effectively enhancing the quality and efficiency of fault analysis.

The system operation begins by adding logical relationship diagram analysis to the acquisition system, yielding an initial judgment of the fault type, which is then clearly marked. Later, appropriate solutions are selected based on different fault types to eliminate the faults. Multiple analysis methods are used during fault analysis, with simulation systems being the most common. After simulation analysis, data codes related to the fault are generated. Comparing these codes helps identify the fault more accurately.

During operation, the vibration system acquires corresponding fault parameters. After computation, the fault location can be precisely determined. Using data analysis and formula transformation, the results can be presented in a visual format. This is the most common method for analyzing problems in acquisition systems.

5 Simulation Experiment

To ensure comprehensive and accurate handling of obstacles during vessel operation, more precise technical information must be obtained to facilitate successful fault analysis. Numerous detection methods can enhance the reliability of fault detection technology, among which simulation experiments and analytical methods are the most widely applied. Their primary function is to evaluate acquired information and effectively understand appropriate handling strategies. Compared with traditional diagnostic methods, simulation analysis offers more reliable data. Traditional methods often suffer from inaccuracies in determining fault location and severity, whereas simulation analysis avoids such issues by presenting fault conditions in a more realistic and accurate manner [3]. Compared to traditional fault analysis methods, simulation analysis improves accuracy by nearly one-third, demonstrating excellent diagnostic performance. When determining fault categories, judgments can be made based on the number of different fault aspects observed.

Fault detection during vessel operation requires significant attention. Currently, China primarily uses electromechanical equipment vibration acquisition systems to locate faults and promptly convert the detected information into visual fault signals. This fault detection method offers higher accuracy and timeliness compared to traditional approaches that rely on manual detection by personnel. When identifying different fault types, comparisons should be made against standardized fault spectra, clearly marking locations with evident faults and applying suitable methods for resolution and verification.

6 Conclusion

With continuous advancements in science and technology, China increasingly relies on electromechanical equipment acquisition systems for fault detection in vessel operations. These systems effectively diagnose fault locations during operation, helping personnel maintain stable vessel performance. The reliability of such methods must be validated through various approaches, among which simulation experiments are the most common, providing greater convenience for normal vessel operation.