预测产品异常
我有一个关于异常预测的问题。如果您能给我推荐一些处理此类问题的论文或给我一些开始解决此问题的提示，我将不胜感激。
我有一些产品需要使用更大的机器，并且一些力作用在这些产品上大约 5 分钟。之后，这些产品有的就不正常了，是异常的。 我想在异常发生之前预测它。
数据如下：我有超过 100000 个产品，对于每个产品，我有 120 个特征，测量了 1000 次（5 分钟内）。 你好先生。 我有一个关于异常预测的问题。如果您能给我推荐一些处理此类问题的论文或给我一些开始解决此问题的提示，我将不胜感激。
我有一些产品需要使用更大的机器，并且一些力作用在这些产品上大约 5 分钟。之后，这些产品有的就不正常了，是异常的。 我想在异常发生之前预测它。
数据如下：我有超过 100000 个产品，对于每个产品，我有 120 个特征，测量了 1000 次（5 分钟内）。
point：我看过的大部分论文都是关于预测机器异常的。例如，大型机器中有一些传感器受到监控，直到它们表现出奇怪的行为。这意味着机器即将损坏，需要进行一些更改才能使其再次正常工作。所有这些示例都是关于机器的，与产品无关
I have a question about the forecasting of anomalies. I would be very grateful if you could refer me to some papers that deal with this kind of problem or give me some hints to start with this problem.
I have some products that go to a bigger machine and some forces act on these products for about 5 minutes. After that, some of these products are not normal and they are anomalies.
I want to predict an anomaly before it occurs.
The data is as follows: I have more than 100000 products and for each product, I have 120 features that are measured 1000 times (during 5 minutes).
Hello Mr.
I have a question about the forecasting of anomalies. I would be very grateful if you could refer me to some papers that deal with this kind of problem or give me some hints to start with this problem.
I have some products that go to a bigger machine and some forces act on these products for about 5 minutes. After that, some of these products are not normal and they are anomalies.
I want to predict an anomaly before it occurs.
The data is as follows: I have more than 100000 products and for each product, I have 120 features that are measured 1000 times (during 5 minutes).
point: Most of the papers I have seen were about predicting anomalies in the machine. For example, there are some sensors in a large machine that are monitored till they show strange behavior. This means that the machine is close to breaking and something needs to be changed to make it works normally again. All these examples are about machines and not related to the products
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