The equipment installed determines how a plant fails. A returnable glass line and a PET combi block share almost no failure profile, and a monitoring strategy that treats them the same will miss on both.
That's why "how should we monitor our line" has no single answer. It depends on whose name is on the machines. Below are the OEM environments where beverage plants actually live: Krones, Sidel, Tetra Pak, KHS, GEA, and the environment most plants really run, which is all of the above at once.
For each one: the parts that set the pace, what actually fails, and what to watch. Jump to the equipment you recognize.
1. Krones: Protect the Whole Line, Not Just the Filler
Krones is often the whole line. Not one machine in a sequence, but the sequence itself: washing or blowing, filling, capping, inspecting, labeling, packing, palletizing, all specified and integrated together. Operationally, that's an advantage. From a reliability standpoint, it's a concentration of risk. Buffering between stations is limited by design, and the control philosophy assumes everything upstream and downstream is running.
The parts that set the pace: the bottle washer's main drive and carrier chains, the filler carousel's drive motor, reducer, and bearings, capper spindles and torque heads, the labeler's cutting cylinder and vacuum drum, and the gearboxes and servo drives inside the packer and palletizer.
What actually fails is the wet end first. Washer chains and drive components wear under load in a caustic bath that attacks bearings and motor winding insulation at the same time. One asset, two failure paths, running at once. At the precision end, labeler wear announces itself as a rising label reject rate that nobody has connected to a maintenance cause yet. At the packing end, servo-dense equipment builds overload and current imbalance over weeks with almost nothing mechanical to show for it until late.
What to watch: washer drive bearing condition plus motor insulation and current behavior, filler main drive bearing and gear mesh tracked against production speed, capper torque consistency, label reject rate treated as a reliability signal, and current imbalance trends on packer and palletizer servos.
2. Sidel: Reliability Inside the PET Combi Block
PET production compresses heating, stretching, blowing, filling, and capping into a small footprint, often a single integrated block with no buffers between stages. That integration is the point. It's also the reliability story: nothing absorbs a problem between blowing and filling, so a developing issue in one stage is a developing issue for throughput.
The parts that set the pace: mold carriers and locking mechanisms, stretch rod drives, the preform oven (lamps, reflectors, conveyor drive), the high-pressure air package, and the filler and capper drives.
The signature failure here is cyclic, not rotational. Mold carrier cam followers and locking components absorb an impact load thousands of times an hour and wear progressively. That wear doesn't present as an overall rise in vibration the way a bearing does. It presents as a changing impact signature, and it's easy to miss if you're trending overall levels only. The oven fails even more quietly: lamp output drifts, reflectors foul, the preform thermal profile shifts, and bottles go out of spec before any machine faults. The ticket gets written as a quality issue.
What to watch: impact signature progression on mold carriers, thermal profile stability and lamp circuit load on the oven, the blowing air compressor's mechanical condition and motor electrical health read together, and bottle weight and reject drift as a leading reliability indicator.
3. Tetra Pak: Separating the Process from the Fault
Aseptic carton, dairy, and juice production run on a different rhythm. Equipment cycles through sterilization, production, CIP, and changeover. Recipes vary in viscosity, temperature, and solids. Runs are long, and an unplanned stop costs product, not just time.
The parts that set the pace: aseptic filler drives and sealing systems, homogenizers (crankshaft, connecting rods, plungers, valves, drive motor and belts), high-speed separators and clarifiers, and the process and CIP pumps feeding everything.
Homogenizers lead the failure list. They're reciprocating, high-load, continuously duty-cycled, and upstream of everything, and their failure paths (connecting rod wear, plunger and valve degradation, pulley misalignment, drive-end lubrication) are all catchable well before breakdown. Separators run at speeds where small unbalance becomes large force quickly.
The real challenge is context. A homogenizer running a high-viscosity dairy recipe produces a different vibration profile than the same machine running juice, and a CIP cycle looks a lot like an anomaly to a mechanical sensor. Without production state attached to every reading, teams either chase false alarms or raise thresholds until real degradation slips underneath. Most end up doing the second one without ever deciding to.
What to watch: homogenizer drive and pulley vibration read against recipe, separator unbalance progression at operating speed, cavitation signatures on process and CIP pumps, and any alert that appears only during CIP or changeover. That's a context problem, not an asset problem.
4. KHS: The Seamer Should Not Be a Blind Spot
Can and bottle filling, kegging, and brewery packaging run at some of the highest throughputs in the industry, with almost no way around the critical assets. A high-speed can line has one seamer, and a seam defect found at the palletizer isn't a stop. It's a hold on everything filled since the last check. The exposure gets measured in pallets, not minutes.
The parts that set the pace: the filler carousel's main drive, reducer, and bearings, the seamer (often built into the filler, sometimes from a different manufacturer entirely), pasteurizer circulation pumps and conveyor drives, and the packer and palletizer gearboxes.
The seamer is what actually fails, and it fails in slow motion. Seaming chuck and roll wear produce double-seam dimensional drift days before anything looks like a failure, and it's almost always caught by a quality check after product has been filled. The pasteurizer runs the quiet version of the same problem: a slowly degrading circulation pump changes pasteurization unit delivery, and PU drift is a product risk long before it's a mechanical one.
What to watch: seamer mechanical condition with double-seam drift treated as a maintenance signal, filler drive condition tracked against actual run hours rather than calendar, pasteurizer pump bearing condition with PU consistency as the operational check, and current imbalance and thermal trend on drive motors that never get recovery time.
5. GEA: The Asset That Stops Production Isn't on the Line
Process and utility equipment don't appear on the production dashboard. They appear on the production report, on the days they fail. Homogenizers, separators, process pumps, heat exchangers, and ammonia refrigeration all sit upstream of or underneath the packaging line. None of them fills a container. Every one of them can stop a plant.
The parts that set the pace: homogenizer drive ends, separator and centrifuge bowls and bearings, brewhouse and product transfer pumps, plate heat exchangers, and the ammonia compressor package with the largest motors in the building attached.
Compressors fail down two parallel paths. The mechanical one (rotor bearings, coupling alignment, oil system) is the path most plants monitor. The electrical one is the path they miss: voltage imbalance produces disproportionate rotor and winding heating, and power-quality events degrade insulation quietly over months, then present as a failure that looks sudden and was not. Centrifuges add speed to the equation, where solids accumulation creates unbalance and unbalance finds the bearings. And when refrigeration capacity drops gradually, product is at risk before equipment is: tank temperatures drift, holding times shorten, and quality decisions get made under pressure.
What to watch: compressor bearings, alignment, and oil system on the mechanical side, current imbalance, overload, and thermal trend on the electrical side, power-quality exposure on the plant's largest motor loads, and centrifuge unbalance progression through the discharge cycle.
6. Mixed-OEM Plants: Fragmentation Is the Reliability Problem
This is most plants. Three or more OEM stations running as one line. A twenty-year-old filler feeding a two-year-old packer. Three control platforms, three service contracts, and two or three OEM monitoring portals that each cover their own equipment and nothing else. Every one of those systems is doing its job. None of them can see the line.
The failure modes are the same ones above. What changes is the plant's ability to act on them. Nobody can answer "what's the biggest risk on Line 3 this week" without opening four systems and doing the synthesis in their head. An alarm on one platform means attention soon; on another it means stop now, and technicians learn each dialect through experience, so the knowledge lives with people instead of with the plant. Coverage tracks the purchasing calendar instead of the risk profile: new equipment arrives monitored, and the older equipment most likely to fail has whatever was retrofitted, or nothing.
The instinct is to standardize by replacing things. That's expensive, and it's not required. What a plant needs is one health layer across the equipment it already owns, reading mechanical, electrical, and operational context the same way on every machine, whatever the nameplate on the cabinet says.
What to watch: assets with no monitoring at all (usually the oldest and most critical), handoffs between stations that nobody clearly owns, and how many separate places someone has to look to assess one line's health.
One Framework Across All Six
Strip away the logos and three rules hold in every environment.
First, context is the requirement, not a refinement. A vibration reading during a changeover and a reading at full speed are not the same measurement, even on the same asset. Without production state, teams learn to distrust their own alerts.
Second, every critical asset has two failure paths. Mechanical wear and electrical stress run in parallel on the same machine, and each can take it out on its own. Vibration covers one path. It doesn't cover the other.
Third, the line runs as one system, so it should be monitored as one. Not more data. The same data, ranked, so Monday's planning meeting starts with a list instead of an inbox.
How Tractian Covers Every Nameplate
This is exactly what Tractian was built to be: the OEM-agnostic asset health layer. Smart Trac sensors mount on any rotating asset on this page, from a Krones washer drive to a GEA ammonia compressor, and read vibration, temperature, and ultrasound in real time. Energy Trac adds the electrical path the vibration route can't see: current imbalance, overload, and the power-quality exposure sitting on your largest motors. Uni Trac picks up the process variables running through all of it. It connects to the transmitters already on the line and reads pressure, flow, humidity, and temperature into the same platform, so the washer's water temperature and the ammonia system's suction pressure get watched by the same AI watching the bearings. And because everything lands in the CMMS your team is currently using, the output isn't six portals. It's one ranked view of the line, turned into work orders your team can execute, in language every technician on every shift reads the same way.
Your OEM systems keep doing what they do well. Your service contracts stay in place. What gets added is the thing none of them can provide alone: a single answer to what needs attention first.
Let's talk about what a full picture of asset health could look like across your line. Schedule a Demo.