Author:Haina Machinery Factory FROM:Diaper Machinery Manufacturer TIME:2026-10-06
An automatic diaper machine should be upgraded with servo or vision systems only after the plant defines the defect, downtime, changeover, traceability, or obsolescence problem the upgrade must solve. Servo conversion can improve controllable phase and recipe repeatability, while vision can detect selected visible conditions and support rejection. Neither repairs weak frames, worn bearings, unstable materials, poor tension, or unclear product standards. Buyers should baseline current performance, audit mechanical and control compatibility, test one risk-limited scope, calculate value from verified loss data, and require drawings, software backups, training, spares, and acceptance evidence before expanding the retrofit.
Write the problem in measurable operating terms. Examples include repeated phase adjustment after size changes, obsolete drives with limited replacement support, undetected component absence, excessive manual inspection, recurring false rejects, long diagnosis, or inability to record critical events. Identify the affected SKUs, machine zones, frequency, duration, scrap, quality holds, labor activity, and support risk.
Separate required modernization from optional performance improvement. An unsupported PLC or unavailable drive can create continuity risk even when present production is stable. A vision project may address a quality-control gap rather than increase speed. These cases use different approval criteria and value calculations.
Set a clear non-goal list. An axis retrofit should not be expected to fix a flexible frame, worn transmission, damaged tooling, poor web traction, or inconsistent incoming material. Vision should not be expected to measure hidden absorbent distribution unless an appropriate sensing method is provided. Defining exclusions prevents uncontrolled scope and unrealistic acceptance.

Inspect frame condition, shafts, bearings, gearboxes, couplings, belts, rollers, cutters, vacuum elements, guards, cable routes, cabinets, cooling, grounding, utilities, and maintenance access. Measure alignment, runout, backlash, vibration, thermal condition, tension behavior, and relevant product registration using repeatable methods. Record current software, hardware, drawings, parameters, spares, and known modifications.
Collect production evidence under representative products and materials. Include startup, stable running, size change, splice, stop, restart, quality sampling, defect distribution, downtime first-out events, and rejected output. Distinguish design speed from demonstrated stable working speed and routine operating speed. An upgrade target should use an agreed baseline rather than a historical best moment.
Map every control dependency. A mechanically linked axis may drive several functions through gears and shafts. Converting one function to servo can change phase relationships, guarding, inertia, synchronization, emergency stopping, and recovery. Vision may require an encoder, trigger, reject device, lighting enclosure, network, data storage, and a stable product presentation that the current line does not provide.
Servo control is most useful where programmable position, phase, speed, torque, or recipe change has a clear production benefit. Candidate functions can include component cutting and placement, elastic timing, tape application, waist systems, final cutting, folding, or transfer. The actual choice depends on the line architecture and the mechanical condition of the driven load.
Size the complete axis, not only the motor. Review load inertia, acceleration, peak and continuous torque, gearbox, coupling, shaft, bearings, drive, braking or regeneration, power supply, cable, encoder, control cycle, and mounting rigidity. A high-capacity motor cannot overcome backlash, slip, resonance, or a weak connection. Check safe stopping and whether loss of power can leave stored energy or material in a hazardous state.
Define the synchronization method and master reference. Electronic gearing or cam profiles require controlled position relationships and restart logic. Ask how the axis homes, recovers after an emergency stop, handles a broken web, and protects the product during low-speed threading. Recipe values need limits, access roles, revision control, and backup.

Begin with a defect catalogue containing approved and rejected examples. Define the feature, location, contrast, orientation, expected variation, and action. Vision may detect selected presence, absence, position, shape, print, contamination, fold, or visible damage when image formation supports it. It cannot infer an invisible bond or absorbent property merely from a normal surface image.
Image quality depends on camera resolution, field of view, lens, working distance, depth of field, lighting geometry, exposure, trigger, encoder, product stabilization, enclosure, cleanliness, and computational time. Check every product size and color. Glossy film, soft nonwoven, vibration, dust, and changing ambient light can reduce detection margin.
Define false accept and false reject tests using controlled samples. A detection threshold should be linked to the product standard and protected from casual edits. Confirm reject timing and physical removal at operating conditions, including consecutive defects and a full reject bin. Decide what happens if the camera, light, trigger, network, or reject confirmation fails.
Data retention should serve a purpose. Store defect image, time, recipe, inspection result, and relevant machine context according to the buyer's traceability policy. Control user access and storage capacity. A large image archive without search, synchronization, and retention rules adds maintenance burden without improving diagnosis.
Create an interface list for power, controls, network, encoder, safety, air, reject hardware, mounting, guarding, ventilation, and data. Verify cabinet space, heat load, protection, cable routing, grounding, and spare electrical capacity. Existing documentation may not reflect field modifications, so trace critical circuits physically before design approval.
Review the safety function under the buyer's applicable process. Added drives and moving reject devices can create new motion, stored energy, access, and stopping considerations. Vision enclosures and lights must not block emergency access, threading, cleaning, or maintenance. Changes to guards, interlocks, emergency circuits, or safety software need controlled design and verification by competent parties.
Software integration should define ownership of PLC changes, drive parameters, HMI screens, recipes, alarm history, vision programs, source files where included, licenses, and backups. Record versions before work and create a rollback package. Test restoration and verify that unrelated machine functions remain unchanged.
Retrofit readiness evidence

Build the value model from the baseline. Potential benefits may include avoided obsolescence exposure, shorter setup, lower restart waste, reduced adjustment labor, fewer selected defects escaping, less false rejection, faster diagnosis, or improved traceability. Use actual event frequency, duration, material exposure, labor activity, and product disposition from the plant.
Include total project cost: engineering, equipment, software, licenses, electrical and mechanical work, guarding, installation downtime, utilities, testing materials, training, spares, support, documentation, and future maintenance. Vision adds cleaning, lighting, calibration, storage, and program management. Servo conversion adds drive and mechanical spares, tuning competence, and software ownership requirements.
State assumptions and ranges instead of presenting a guaranteed payback. Test sensitivity to production mix, volume, defect recurrence, part lead time, and available maintenance skill. A continuity upgrade can be justified by risk even when direct savings are uncertain; label that decision separately from a productivity return.
HAINA can review the supplied and proposed architecture of an automatic diaper machine project. A retrofit still requires a physical audit, controlled scope, and acceptance conditions that fit the specific installed line.
| Observed need | Possible upgrade | Prerequisite evidence | Acceptance focus |
|---|---|---|---|
| Repeated manual phase setup | Selected servo axis and protected recipe | Sound mechanics and measured setup variation | Repeatable change and product registration |
| Obsolete unsupported drive | Drive or control migration | I O motion safety and software inventory | All affected functions plus recovery and backups |
| Visible component defects escape | Vision inspection with confirmed reject | Defect catalogue and stable image presentation | False accept false reject and rejection tests |
| Long fault diagnosis | Event trends and clearer HMI diagnostics | First-out and state-data gap analysis | Controlled fault scenarios and usable records |
| Unstable web position | Possibly guide or tension improvement first | Roll alignment roller and tension diagnosis | Product position under original condition |
Freeze the design package, acceptance plan, rollback condition, and installation sequence before shutdown. Stage verified parts and tools, capture software and settings, label interfaces, and preserve the original condition. Use controlled isolation and record findings discovered after opening the machine. Any scope change should receive technical and schedule approval.
Commission in layers: inspect installation, verify wiring and utilities, check safety functions, test individual I O, run mechanisms under controlled conditions, verify synchronization, test recipes, challenge alarms, and introduce material. For vision, complete image and reject qualification with controlled defect examples. For servo axes, test homing, phasing, low-speed threading, acceleration, stopping, restart, and power recovery as applicable.
Performance acceptance should reproduce the original problem conditions and confirm product quality. Use agreed materials, SKUs, duration, sampling, and event treatment. Distinguish a design speed reference from stable working speed and a contractual acceptance value. Repeat tests after any significant correction.
Close with as-built drawings, parts lists, software and parameters, backups, licenses, manuals, maintenance tasks, spare recommendations, training, and open-point records. Monitor the upgrade during a defined production period and compare with baseline. Standardize only after the plant sees sustained results without transferred defects or new downtime.
Assign long-term ownership before project closure. Someone must manage software versions, inspection recipes, access rights, calibration or reference checks, backup verification, and approved replacement parts. Without an owner, a technically successful retrofit can slowly lose its original control as products and staff change.

No. Usable speed also depends on frames, tooling, web handling, materials, process windows, safety, controls, and downstream capacity.
No. Detection is limited by feature visibility, image quality, presentation, algorithm, timing, and validated defect examples.
Usually a risk-limited scope is easier to validate. The correct scope depends on obsolescence, dependencies, shutdown constraints, and the measured business case.
Require applicable as-built drawings, device lists, software, parameters, recipes, licenses, backups, manuals, maintenance information, and test records.
Servo and vision upgrades create value when they solve a defined, measured problem on a mechanically sound line. Establish the baseline, audit dependencies, choose a limited functional scope, and calculate value with transparent assumptions. Integrate safety, controls, data, documentation, and support from the start. Then accept the retrofit against the original loss condition and sustained quality-released production, not technology specifications alone.