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- Autonomous maintenance relies on operators’ senses and know-how.<\/li>\n
- Slow degradation slips between two rounds unnoticed.<\/li>\n
- Four production signals show where to look on the next round.<\/li>\n
- Every threshold breach becomes a documented work request.<\/li>\n<\/ul>\n<\/div>\n
Autonomous maintenance rests on a strong idea: operators know their machine better than anyone. They see it, hear it and touch it all day long. But they still need the right signals to catch what their senses cannot detect.<\/p>\n
The first pillar of TPM<\/h2>\n
In TPM (Total Productive Maintenance): what are we talking about?<\/a> (in French), Fleur Torlini of Tribofilm presents the eight pillars of TPM and its ambition: “Its goal: to turn maintenance into a collective responsibility.” The first pillar, autonomous maintenance, gives operators responsibility for cleaning, inspection, lubrication and spotting anomalies.<\/p><\/blockquote>\n
The article is also clear-eyed about the limits: TPM takes time, training, real team commitment and precise indicators. It shows how a CMMS such as MAINTI4 tracks anomalies, generates work requests and keeps the intervention history.<\/p>\n
Those precise indicators are exactly the link most often missing on the production side.<\/p>\n
What the senses catch, and what they miss<\/h2>\n
A cleaning, inspection and lubrication round is very good at detecting what can be seen or heard: a leak, an abnormal noise, a loose screw, a damaged guard. That is the core of first-level maintenance, and nothing replaces it.<\/p>\n
A slow degradation, however, slips through between two rounds. A machine losing a few strokes per minute, a station that stops a little more often every day, a startup that needs one more adjustment: none of these signals is visible to the naked eye. They show up in production data, over several days.<\/p>\n
![\"Station](\"https:\/\/teeptrak.com\/wp-content\/uploads\/2026\/10\/teeptrak-backlink-a4-en.png\")
<\/figure>\nFour drift signals to put in front of operators<\/h2>\n