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Academic Journal of Computing & Information Science, 2024, 7(1); doi: 10.25236/AJCIS.2024.070113.

Research on Common Faults and Maintenance Methods of Computer Hardware Equipment

Author(s)

Junning Lang

Corresponding Author:
Junning Lang
Affiliation(s)

College of Network Engineering, Wuhu Institute of Technology, Wuhu, China

Abstract

Computer hardware equipment may experience various malfunctions during long-term use, such as power failure, motherboard failure, memory failure, hard disk failure, etc. These faults can affect the normal operation of the computer and even lead to data loss or damage. Therefore, mastering the maintenance methods of computer hardware equipment is of great significance for ensuring the normal operation of computers. Firstly, the basic concepts and common types of faults of computer hardware equipment were introduced, including poor contact, hardware damage, power supply issues, and faults caused by viruses or malicious software. Subsequently, various maintenance methods for faults were elaborated, including direct observation method, professional tool method, comparative replacement method, and software repair method. Detailed steps and operation guidelines are also provided when analysing each maintenance method. Finally, the key steps and precautions for computer hardware equipment maintenance were summarized, emphasizing the importance of understanding hardware equipment models and specifications, maintaining a clean and dry environment, and safe operation. The study sorted out the types and causes of common faults in computer hardware equipment, and provided a detailed introduction to maintenance methods for these faults. The study demonstrates through examples how to apply these maintenance methods to solve practical problems, aiming to provide reference for relevant research.

Keywords

Computer, Hardware Equipment, Breakdown Maintenance

Cite This Paper

Junning Lang. Research on Common Faults and Maintenance Methods of Computer Hardware Equipment. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 1: 86-92. https://doi.org/10.25236/AJCIS.2024.070113.

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