STEP | DESCRIPTION | |
STEP 1 | Get detailed information about the conditions and the
environment when the incident occurred.
The following are key pieces of information required to make a good analysis: |
|
WHAT | Vehicle Model, Engine, Transmission/Transaxle and the System (i.e. Radio). | |
WHEN | Date, Time of Day, Weather Conditions, Frequency. | |
WHERE | Road Conditions, Altitude and Traffic Situation. | |
HOW | System Symptoms, Operating Conditions (Other Components
Interaction).
Service History and if any After Market Accessories have been installed. |
|
STEP 2 | Operate the system, road test if necessary.
Verify the parameter of the incident. If the problem cannot be duplicated, refer to “Incident Simulation Tests”. |
|
STEP 3 | Get the proper diagnosis materials together including:
Identify where to begin diagnosis based upon your knowledge of the system operation and the customer comments. |
|
STEP 4 | Inspect the system for mechanical binding, loose
connectors or wiring damage.
Determine which circuits and components are involved and diagnose using the Power Supply Routing and Harness Layouts. |
|
STEP 5 | Repair or replace the incident circuit or component. | |
STEP 6 | Operate the system in all modes. Verify the system works properly under all conditions. Make sure you have not inadvertently created a new incident during your diagnosis or repair steps. |
How to Follow Test Groups in Trouble Diagnosis
Test group number and test group title
Test group number and test group title are shown in the upper portion of
each test group.
Work and diagnosis procedure
Start to diagnose a problem using procedures indicated in enclosed test
groups.
Questions and results
...
Recommended chemical products and sealants
Refer to the following chart for help in selecting the appropriate chemical
product or sealant.
Product Description
Purpose
Nissan North America
Part No. (USA)
Nissan Canada Part
No. (Canada)
Aftermarket Crossreference
Part Nos.
1
Rear View Mirror ...
Voice Adaptation (VA) mode
Voice Adaptation allows up to two out-of-dialect
users to train the system to improve recognition
accuracy. By repeating a number of commands,
the users can create a voice model of their own
voice that is stored in the system. The system is
capable of storing a different voice adaptation
model ...