A novel approach for predicting Lockout/Tagout safety procedures for smart maintenance strategies: dataset

The data are in Pickle format. Pickle in Python is primarily used in serializing and deserializing a Python object structure. In other words, it's the process of converting a Python object into a byte stream to store it in a file/database, maintain program state across sessions, or transport data over the network. These tables provide the names of the machines and the devices to be locked to secure them. 

"industry"_name associates each sheet with its name. Each row corresponds to the ID of the Lockout/Tagout (LOTO) cards. The columns consist of the dictionary of machine names. LOTO sheets for different industrial sectors are proposed. The type of "industry" is specified in the title of each dataset.

"industry"_device associates each sheet with the types and numbers of devices to be locked. Each line corresponds to the ID of the Lockout/Tagout (LOTO) cards. The columns consist of the list of devices. The "industry"_name and "industry"_device lines refer to the same LOTO sheet. 

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