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叉车故障诊断的原则和方法介绍

来源:https://www.jnhgjx.net/ 日期:2023-07-10 发布人:

1、抓住特征。先收集、了解故障的全部现象,弄清是使用中逐渐出现的,还是突然出现的;是在叉车养护中出现的,还是维修中出现的;在什么情况下、条件下现象明显;在允许条件下,改变叉车工作状态,了解现象的变化,从中抓住其故障现象特征。

1. Grasp the features. Firstly, comprehensively collect and understand all the symptoms of the malfunction, and determine whether it gradually occurs during use or suddenly; Did it occur during forklift maintenance or repair; Under what circumstances and conditions are the phenomena obvious; Under allowable conditions, change the working state of the forklift, understand the changes in phenomena, and grasp the characteristics of its fault phenomena.
2、分析实质。任一故障的发生总有一两个实质性原因,必须由简到繁,由表及里分析确定后再查找,以免走弯路。如叉车发动机排气管冒黑烟,实质是燃料不完全燃烧所致,故应抓住油、气及其混合的关键。而要能准确抓住关键,必须熟悉叉车的结构、工作原理及正常工作所具备的条件,做到准确的判断。
2. Analyze the essence. There are always one or two substantive reasons for the occurrence of any fault, which must be analyzed and determined from the surface to the inside, and then searched to avoid taking a detour. If the exhaust pipe of a forklift engine emits black smoke, it is essentially caused by incomplete fuel combustion, so the key to oil, gas, and their mixing should be grasped. To accurately grasp the key, it is necessary to be familiar with the structure, working principle, and conditions required for normal operation of forklifts, and make accurate judgments.
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3、避免盲目性。在诊断叉车故障过程中,尽量避免盲目的拆卸,否则将造成人力、材料和时间的浪费;同时要注意防止因不正确的拆卸而造成心得故障。
3. Avoid blindness. In the process of diagnosing forklift faults, try to avoid blind disassembly as much as possible, otherwise it will cause waste of manpower, materials, and time; At the same time, attention should be paid to preventing malfunctions caused by incorrect disassembly.
叉车故障的常用诊断方法,仪器检测法、仪表检测法和直观诊断法。期中,直观诊断法是叉车故障诊断常用的方法,其特点是不需要检测仪器、设备和工具等的技术手段,而是依靠人的感观,即眼、耳、口、鼻、舌、手来诊断故障。驾驶人遇叉车故障时,先搞清故障的症状,然后运用直观诊断法进行推理分析,后做出判断。
The commonly used diagnostic methods for forklift faults include instrument detection, instrument detection, and visual diagnosis. In the interim, intuitive diagnosis is a commonly used method for forklift fault diagnosis, which is characterized by relying on human perception, such as eyes, ears, mouth, nose, tongue, and hands, without the need for technical means such as testing instruments, equipment, and tools. When a driver encounters a forklift malfunction, they first identify the symptoms of the malfunction, then use intuitive diagnostic methods for reasoning and analysis, and then make a judgment.
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